259 Serialization Jobs - Page 2

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Supply Chain Engineering Job Sub Function: Manufacturing Engineering Job Category: Scientific/Technology All Job Posting Locations: Aurangabad, Maharashtra, India Job Description: SECTION 1: JOB SUMMARY* Design, execution and documentation of process characterization, process development, equipment qualification, validations, Manufacturing Equipment and Sterilization Validation Master Plan, and test methods used in manufacturing processes in the context of the applicable standards and regulations. Lead- Process Engineering is responsible to execute process engineering deliverables as per the engineering and base business strategies and objectives at the Aurangabad site. Ensures flawless execution of Manufacturing process validations or qualifications. Provides leadership to the Process team and ensures the support from all engineering functions and also other required cross functions. Responsible to ensure the integration with the regional and WW process engineering organization. Responsible to develop and execute the Sterilization strategies and objectives at ETHICON, Aurangabad site. Provides the leadership & support to engineering function for execution of EO and GAMMA sterilization projects and regular maintenance. Provide Technical knowledge to the Manufacturing engineering, Process engineering and Engineering Projects team. Designs, develops, tests, and evaluates new and existing manufacturing systems for industrial production processes including human work factors, material flow, cost analysis, and process optimization in both production and packaging operations which includes but not limited to Technology Roadmap projects. Is responsible for the Process Safety Management activities for the site. SECTION 2: DUTIES & RESPONSIBILITIES* Ensures coordination and execution of the recurring validation activities according to validation master plan. Leads cross functional teams (internal and external to engineering) and resolves inter- functional issues. Establishes and communicates process and program schedules, objectives, priorities, and targets. Ensures the documentation of project and program activities and deliverables. Planning, coordination, monitoring and evaluation of manufacturing equipment & process validation activities. Training of employees in validation specifications, test plans, test methods, etc. Supporting the selection of processes / machines, taking into account the requirements of project and production as well as investment and cost aspects. Ensuring an effective process risk management (FMEA) carrying out process risk analysis process participation in product risk analysis. Developing manufacturing processes under application / taking into account methodological concepts (Six Sigma, Lean). Supporting the root cause identification and implementation/documentation of corrective measures during the stabilization phase of a product / process development project. Taking over of co-ordination and project management tasks for the Aurangabad site if no project manager is associated with the project. Ensuring process optimization within the stabilization phase of a assigned project Engages to comply with ISO and FDA requirements. Ensuring compliance to the Quality system requirements. Utilizing problem solving skills and statistical techniques to support product / processes controls that are aligned with the overall quality and business vision. Assuring that engineering department is appropriately run in a safe, clean, and environmentally sound manner. Developing and analyzing statistical data and machine specification to determine present standards and establish proposed quality and reliability expectancy of finished product. Assisting in engineering budget preparation, goal tracking and in the business planning process. Supporting for NCR’s investigation and performs trend analysis and report to Management. Ensuring for training / compliance of GMP as per FDA guidelines and site procedures and Policies and on the job training. Participating in audits and gap assessments in support of the internal audit program and FDA readiness. Partnering with operations in the investigation / correction of process failure Developing safety culture in the engineering function. Prepares capital expenditure proposals starting from preparation of draft proposals, vendor selection, price negotiations, planning, and execution. Leads projects end-to-end. Lead engineering projects, New Technology or Technology Transfer projects to improve existing technology with respect to Quality, Compliance, Capacity and Cost. Ensure that projects are completed on time and within budget with no impact to quality or customer service. Develop and execute detailed project plans using standard project management tools (charter, Gantt chart, etc.). Prepare/review capital & expense forecasts for assigned projects. Prepare capital authorization requests (CAR). Sterilization: Under limited supervision & general direction and in accordance with all applicable federal, state and local laws/ regulations and Corporate Johnson & Johnson, procedures and guidelines, this position: Prioritize, assign and coordinate for EO & Gamma sterilization, UDI, serialization and related work. Establish, review and communicate plans (work/project scope, cost, schedule, resource requirements, and risks) for sterilization related activities required to meet system demands and business objectives. Lead & prepare a sterilization road map and prepare a strategy to implement them. Support in preparing technology road map and prepare a strategy to implement them. Lead the various sterilization related projects in tandem with WW sterilization experts. Lead & deliver projects like sterilizer replacement, new cycle creation, existing cycle improvement (as needed) and new practices development. Monitor progress to ensure final deliverable meet lifecycle boundaries and customer acceptance criteria. Engage to comply with ISO and local FDA requirements. Responsible for revision I creation of documents like SOP, Forms etc. required for manufacturing /Sterilization/UDI/Serialization & as required. AUTHORITIES Create PR in emp/Ariba. Create & Approve PR in emp/Ariba Create/Approve Gate Pass for material. Change Assessment creation in ADAPTIV/ PLM system. CO/CP creation in ADAPTIV/PLM system. QMS document Approval creation/Approval in ADAPTIV/ PLM system. SECTION 3: EXPERIENCE AND EDUCATION* Bachelor’s degree with minimum 10 to 12 years of experience in Engineering/Industrial/Electrical/Mechanical Engineering (related stream). Experience in the Medical Device industry or pharmaceutical or consumer or similar industry with experience in aseptic handling. Demonstrated knowledge of manufacturing principles and practices and procedures. Knowledge of specific business practices and software and software applications. Experience using medical device equipment. Ability to communicate effectively with a diverse client/stakeholder base. Ability to work cooperatively with coworkers, peers and required stakeholders. Ability to perform duties in accordance with policies and procedures. SECTION 4: REQUIRED KNOWLEDGE, SKILLS, ABILITIES, CERTIFICATIONS/LICENSES and AFFILIATIONS * Functional Competencies - Engineering Basics: Ability to use knowledge of technical designs, Understanding and creating Engineering drawings and leads key site projects/base business automation initiatives. Manufacturing processes Knowledge: Displays in-depth knowledge of manufacturing methods and standards of process control. Leverages the knowledge and leads practices to implement sustainable process improvements in assigned areas. Product knowledge: Understanding of Product functionalities and identifies improvement opportunities. Understand product requirements and translate into product characteristics and procedures. Ability to define, measure, improve product characteristics and their co-relation with product performance. Process Excellence: Displays in-depth understanding of Lean tools & techniques, Value stream mapping, Six Sigma as a certified Black Belt, Statistical Data Analysis & process controls. Technical Quality and Compliance: Displays in-depth knowledge of J&J quality standards to implement cross-functional corrective action related to quality issues. Use in-depth knowledge of EHS policies to guide others when implementing EHS initiatives. Standard Cost generation: Displays in-depth Knowledge within Financial Systems and Budget Preparation, ROI calculation, standard cost planning and leverages the skills and leading Practices to implement long range business plans that meet J&J strategic Goals & creates new opportunities. Image/Signal Processing and Robotics: Displays in-depth Knowledge within image analysis, image processing, image algorithms, robotic systems, software and verification systems development and leverages the skills and leading Practices to implement processing strategy. Mechanical Equipment & Systems: Displays in-depth knowledge of commissioning of mechanical equipment, Safety equipment and leverages best practices. Process Validations: Ability to develop/plan qualification strategy for overall process, execution of strategy and plans in a diligent manner; ability to react/resolve issues that occur during qualifications; basic knowledge of statistical techniques. Packaging Equipment and Operation: Consistently applies Knowledge and experience to a wide variety of activities and situations associated with Automation & Robotics, Vacuum Technology, Programmable Logic Controllers (PLC), Mechanical Engineering, Sterilization/Cleanroom Technology. Packaging Process: Consistently applies Knowledge and experience to a wide variety of activities and situations associated with Packaging Process, Packaging Materials, Test Methods, Packaging Classification & Types. Packaging Design: Displays in-depth Knowledge within Develops & Implements New Technology concepts and methods and leverages the skills and leading Practices to implement long range business plans that meet J&J strategic Goals & creates new opportunities. Professional Competencies- Analytical Problem Solving: Applies understanding of analytic techniques to interpret data, identify issues, analyze causes of the issues, and provide well-reasoned conclusions and solutions. Technology & Data Management: Uses in-depth knowledge of system and technology capabilities, architecture, and leading practices to effectively interface with IT professionals to identify, select, and implement tools that enable business processes. Quality Mindset: Participates in quality processes, as appropriate, including validation and compliance- related issues (for example, FDA regulations, holds, customs, etc.) Demonstrates an understanding of the critical importance of traceability and ability to apply supporting approaches or technologies (i.e. lot coding, expiration dating, etc.) Applies knowledge of validation strategies and/or continuous improvement concepts to proactively identify process deficiencies or improvements. Analytical Problem solving: Uses in-depth knowledge of analysis and problem-solving techniques to study reports, identify underlying issues or trends, and assess broader implications of the findings, based upon the interpretation of quantifiable data, to recommend appropriate solutions. Project Management: Demonstrates expertise in project management tools and techniques, interactions with project stakeholders and sponsors. Identifies innovative ways to improve cost or lead-time to maximize resources to achieve project outcomes. Leverages understanding of FPX and other project management methodologies to perform root-cause analysis on project failures. Business Case Development: Uses in-depth knowledge of business case development to articulate the business case for broad, cross-departmental change to decision-makers Mentors others by providing direction and context for change by outlining linkages between functional activities and J&J’s bottom line. Knowledge of project management methodologies (e.g., PMP etc.) Knowledge of continuous improvement tools, Lean Manufacturing & Six- Sigma. Ability to lead a team of professionals with diverse skills and competencies spanning business & technical areas. Knowledge of SAP based MRP, Visio, MS Project, Minitab, ADAPTIV, ETQ Audit, ETQ CAPA, ETQ NC & Compliance Wire.

Function Supply Chain Engineering Sub function Manufacturing Engineering Category Senior Engineer, Manufacturing Engineering (ST6) Location Aurangabad / India Date posted Jun 16 2025 Requisition number R-016531 Work pattern Fully Onsite Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Supply Chain Engineering Job Sub Function: Manufacturing Engineering Job Category: Scientific/Technology All Job Posting Locations: Aurangabad, Maharashtra, India Job Description: SECTION 1: JOB SUMMARY* Design, execution and documentation of process characterization, process development, equipment qualification, validations, Manufacturing Equipment and Sterilization Validation Master Plan, and test methods used in manufacturing processes in the context of the applicable standards and regulations. Lead- Process Engineering is responsible to execute process engineering deliverables as per the engineering and base business strategies and objectives at the Aurangabad site. Ensures flawless execution of Manufacturing process validations or qualifications. Provides leadership to the Process team and ensures the support from all engineering functions and also other required cross functions. Responsible to ensure the integration with the regional and WW process engineering organization. Responsible to develop and execute the Sterilization strategies and objectives at ETHICON, Aurangabad site. Provides the leadership & support to engineering function for execution of EO and GAMMA sterilization projects and regular maintenance. Provide Technical knowledge to the Manufacturing engineering, Process engineering and Engineering Projects team. Designs, develops, tests, and evaluates new and existing manufacturing systems for industrial production processes including human work factors, material flow, cost analysis, and process optimization in both production and packaging operations which includes but not limited to Technology Roadmap projects. Is responsible for the Process Safety Management activities for the site. SECTION 2: DUTIES & RESPONSIBILITIES* Ensures coordination and execution of the recurring validation activities according to validation master plan. Leads cross functional teams (internal and external to engineering) and resolves inter- functional issues. Establishes and communicates process and program schedules, objectives, priorities, and targets. Ensures the documentation of project and program activities and deliverables. Planning, coordination, monitoring and evaluation of manufacturing equipment & process validation activities. Training of employees in validation specifications, test plans, test methods, etc. Supporting the selection of processes / machines, taking into account the requirements of project and production as well as investment and cost aspects. Ensuring an effective process risk management (FMEA) carrying out process risk analysis process participation in product risk analysis. Developing manufacturing processes under application / taking into account methodological concepts (Six Sigma, Lean). Supporting the root cause identification and implementation/documentation of corrective measures during the stabilization phase of a product / process development project. Taking over of co-ordination and project management tasks for the Aurangabad site if no project manager is associated with the project. Ensuring process optimization within the stabilization phase of a assigned project Engages to comply with ISO and FDA requirements. Ensuring compliance to the Quality system requirements. Utilizing problem solving skills and statistical techniques to support product / processes controls that are aligned with the overall quality and business vision. Assuring that engineering department is appropriately run in a safe, clean, and environmentally sound manner. Developing and analyzing statistical data and machine specification to determine present standards and establish proposed quality and reliability expectancy of finished product. Assisting in engineering budget preparation, goal tracking and in the business planning process. Supporting for NCR’s investigation and performs trend analysis and report to Management. Ensuring for training / compliance of GMP as per FDA guidelines and site procedures and Policies and on the job training. Participating in audits and gap assessments in support of the internal audit program and FDA readiness. Partnering with operations in the investigation / correction of process failure Developing safety culture in the engineering function. Prepares capital expenditure proposals starting from preparation of draft proposals, vendor selection, price negotiations, planning, and execution. Leads projects end-to-end. Lead engineering projects, New Technology or Technology Transfer projects to improve existing technology with respect to Quality, Compliance, Capacity and Cost. Ensure that projects are completed on time and within budget with no impact to quality or customer service. Develop and execute detailed project plans using standard project management tools (charter, Gantt chart, etc.). Prepare/review capital & expense forecasts for assigned projects. Prepare capital authorization requests (CAR). Sterilization: Under limited supervision & general direction and in accordance with all applicable federal, state and local laws/ regulations and Corporate Johnson & Johnson, procedures and guidelines, this position: Prioritize, assign and coordinate for EO & Gamma sterilization, UDI, serialization and related work. Establish, review and communicate plans (work/project scope, cost, schedule, resource requirements, and risks) for sterilization related activities required to meet system demands and business objectives. Lead & prepare a sterilization road map and prepare a strategy to implement them. Support in preparing technology road map and prepare a strategy to implement them. Lead the various sterilization related projects in tandem with WW sterilization experts. Lead & deliver projects like sterilizer replacement, new cycle creation, existing cycle improvement (as needed) and new practices development. Monitor progress to ensure final deliverable meet lifecycle boundaries and customer acceptance criteria. Engage to comply with ISO and local FDA requirements. Responsible for revision I creation of documents like SOP, Forms etc. required for manufacturing /Sterilization/UDI/Serialization & as required. AUTHORITIES Create PR in emp/Ariba. Create & Approve PR in emp/Ariba Create/Approve Gate Pass for material. Change Assessment creation in ADAPTIV/ PLM system. CO/CP creation in ADAPTIV/PLM system. QMS document Approval creation/Approval in ADAPTIV/ PLM system. SECTION 3: EXPERIENCE AND EDUCATION* Bachelor’s degree with minimum 10 to 12 years of experience in Engineering/Industrial/Electrical/Mechanical Engineering (related stream). Experience in the Medical Device industry or pharmaceutical or consumer or similar industry with experience in aseptic handling. Demonstrated knowledge of manufacturing principles and practices and procedures. Knowledge of specific business practices and software and software applications. Experience using medical device equipment. Ability to communicate effectively with a diverse client/stakeholder base. Ability to work cooperatively with coworkers, peers and required stakeholders. Ability to perform duties in accordance with policies and procedures. SECTION 4: REQUIRED KNOWLEDGE, SKILLS, ABILITIES, CERTIFICATIONS/LICENSES and AFFILIATIONS * Functional Competencies - Engineering Basics: Ability to use knowledge of technical designs, Understanding and creating Engineering drawings and leads key site projects/base business automation initiatives. Manufacturing processes Knowledge: Displays in-depth knowledge of manufacturing methods and standards of process control. Leverages the knowledge and leads practices to implement sustainable process improvements in assigned areas. Product knowledge: Understanding of Product functionalities and identifies improvement opportunities. Understand product requirements and translate into product characteristics and procedures. Ability to define, measure, improve product characteristics and their co-relation with product performance. Process Excellence: Displays in-depth understanding of Lean tools & techniques, Value stream mapping, Six Sigma as a certified Black Belt, Statistical Data Analysis & process controls. Technical Quality and Compliance: Displays in-depth knowledge of J&J quality standards to implement cross-functional corrective action related to quality issues. Use in-depth knowledge of EHS policies to guide others when implementing EHS initiatives. Standard Cost generation: Displays in-depth Knowledge within Financial Systems and Budget Preparation, ROI calculation, standard cost planning and leverages the skills and leading Practices to implement long range business plans that meet J&J strategic Goals & creates new opportunities. Image/Signal Processing and Robotics: Displays in-depth Knowledge within image analysis, image processing, image algorithms, robotic systems, software and verification systems development and leverages the skills and leading Practices to implement processing strategy. Mechanical Equipment & Systems: Displays in-depth knowledge of commissioning of mechanical equipment, Safety equipment and leverages best practices. Process Validations: Ability to develop/plan qualification strategy for overall process, execution of strategy and plans in a diligent manner; ability to react/resolve issues that occur during qualifications; basic knowledge of statistical techniques. Packaging Equipment and Operation: Consistently applies Knowledge and experience to a wide variety of activities and situations associated with Automation & Robotics, Vacuum Technology, Programmable Logic Controllers (PLC), Mechanical Engineering, Sterilization/Cleanroom Technology. Packaging Process: Consistently applies Knowledge and experience to a wide variety of activities and situations associated with Packaging Process, Packaging Materials, Test Methods, Packaging Classification & Types. Packaging Design: Displays in-depth Knowledge within Develops & Implements New Technology concepts and methods and leverages the skills and leading Practices to implement long range business plans that meet J&J strategic Goals & creates new opportunities. Professional Competencies- Analytical Problem Solving: Applies understanding of analytic techniques to interpret data, identify issues, analyze causes of the issues, and provide well-reasoned conclusions and solutions. Technology & Data Management: Uses in-depth knowledge of system and technology capabilities, architecture, and leading practices to effectively interface with IT professionals to identify, select, and implement tools that enable business processes. Quality Mindset: Participates in quality processes, as appropriate, including validation and compliance- related issues (for example, FDA regulations, holds, customs, etc.) Demonstrates an understanding of the critical importance of traceability and ability to apply supporting approaches or technologies (i.e. lot coding, expiration dating, etc.) Applies knowledge of validation strategies and/or continuous improvement concepts to proactively identify process deficiencies or improvements. Analytical Problem solving: Uses in-depth knowledge of analysis and problem-solving techniques to study reports, identify underlying issues or trends, and assess broader implications of the findings, based upon the interpretation of quantifiable data, to recommend appropriate solutions. Project Management: Demonstrates expertise in project management tools and techniques, interactions with project stakeholders and sponsors. Identifies innovative ways to improve cost or lead-time to maximize resources to achieve project outcomes. Leverages understanding of FPX and other project management methodologies to perform root-cause analysis on project failures. Business Case Development: Uses in-depth knowledge of business case development to articulate the business case for broad, cross-departmental change to decision-makers Mentors others by providing direction and context for change by outlining linkages between functional activities and J&J’s bottom line. Knowledge of project management methodologies (e.g., PMP etc.) Knowledge of continuous improvement tools, Lean Manufacturing & Six- Sigma. Ability to lead a team of professionals with diverse skills and competencies spanning business & technical areas. Knowledge of SAP based MRP, Visio, MS Project, Minitab, ADAPTIV, ETQ Audit, ETQ CAPA, ETQ NC & Compliance Wire.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. You'll have the opportunity to work with the latest technologies, ensuring the applications delivered are high performing, highly available, responsive, and maintainable. Your primary responsibilities include: Analytical Problem-Solving and Solution Enhancement: Analyze, validate and propose improvements to existing failures, with the support of the architect and technical leader. Comprehensive Engagement Across Process Phases: Involvement in every step of the process, from design, development, testing release changes and troubleshoot where necessary, providing a great customer service. Strategic Stakeholder Engagement and Innovative Coding Solutions: Drive key discussions with your stakeholders and analyze the current landscape for opportunities to operate and code creative solutions Preferred Education Master's Degree Required Technical And Professional Expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience with software development. Experience in have working knowledge on Java 8 or higher. Proven working experience on both Spring and Hibernate (Spring 4 or above). Experience in knowing OOP concepts well. Should be proficient in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File IO (Input/Output) and Serialization, Collections (List, Map, Set), Access Specifiers, Exceptions (Checked, Unchecked), Generics, Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management, Multithreading and Synchronization, JSP (Java Server Page)/ Servlets Preferred Technical And Professional Experience Should be conversant with Build tools like Ant, Maven and Git Must have experience on Design patterns and Optimize usage. Proven work experience on Spring Core, Spring ORM, Spring DAO, Spring AOP, Hibernate would be an added advantage Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. You'll have the opportunity to work with the latest technologies, ensuring the applications delivered are high performing, highly available, responsive, and maintainable. Your Primary Responsibilities Include Analytical Problem-Solving and Solution Enhancement: Analyze, validate and propose improvements to existing failures, with the support of the architect and technical leader. Comprehensive Engagement Across Process Phases: Involvement in every step of the process, from design, development, testing release changes and troubleshoot where necessary, providing a great customer service. Strategic Stakeholder Engagement and Innovative Coding Solutions: Drive key discussions with your stakeholders and analyze the current landscape for opportunities to operate and code creative solutions. Preferred Education Master's Degree Required Technical And Professional Expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience with software development. Experience in have working knowledge on Java 8 or higher. Proven working experience on both Spring and Hibernate (Spring 4 or above). Experience in knowing OOP concepts well. Should be proficient in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File IO (Input/Output) and Serialization, Collections (List, Map, Set), Access Specifiers, Exceptions (Checked, Unchecked), Generics, Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management, Multithreading and Synchronization, JSP (Java Server Page)/ Servlets Preferred Technical And Professional Experience Should be conversant with Build tools like Ant, Maven and Git Must have experience on Design patterns and Optimize usage. Proven work experience on Spring Core, Spring ORM, Spring DAO, Spring AOP, Hibernate would be an added advantage Show more Show less

Job Description You will work closely with a cross-functional team of developers, QA engineers, and product owners in a fast-paced and cutting-edge environment. You will use your deep technical knowledge and experience to build robust, efficient, and performant software applications. You will always find new challenges that excite you and keep you motivated Responsibilities Responsible for leading a large, diverse team of designers, developers, QAs, and DevOps to deliver high-quality software and processes within budget and on schedule. Develop and implement long-term strategic direction, including software architecture and alignment with company performance objectives. Provide work breakdown and estimates for complex software development projects. Serve as a liaison to internal customers, research groups, and various business support areas Design and develop software applications supporting business objectives Analyze and debug applications in development and production environments and resolve production issues and performance optimizations within the accepted timeframes Lead design and architecture meetings Conduct code reviews, automation, perform thorough Unit/Integration testing of assigned applications Write technical documentation and release notes for the applications Provide technical guidance to junior programmers and other software engineers Qualifications Bachelor’s degree or equivalent in Computer Science or a related field 8+ years of proven experience in software development and system maintenance with Sitecore CMS using products like Sitecore XP Experience in Sitecore platform architecture, including knowledge of Sitecore’s data models, templates, components (Sitecore Experience Accelerator/SXA, JSS, Sitecore Content Serialization), Sitecore configuration, content management, personalization features, internals of integration with SQL Server and Solr, Sitecore headless development and Sitecore Cloud platforms Proficiency in Sitecore development using C#, NextJS, GraphQL, Powershell, .NET Framework Expertise in developing custom Sitecore modules and components, including integrations with external APIs and other systems like Analytics and marketing automation Solid understanding of JavaScript (ES6+), frameworks like React and NextJS, CSS syntax, HTML5 specs, browser shortcomings/differences and polyfills Hands-on experience in version control systems (e.g., Git, Bitbucket), deployment strategies, and CI/CD pipelines. 5 years of experience in stakeholder communication, including external customers Highly experienced at leading teams, interacting with business partners or customers, and guiding project direction Superior organization skills, skilled at recognizing priorities and keeping the team focused on the most important features Strong hands-on experience in the entire development life cycle of software products - coordination of project meetings, project scheduling from the design stage to the deployment stage, and final Ready-to-Ship product. Excellent understanding of object-oriented design concepts and software development processes and methods Developed software in the SCRUM environment using Agile methodologies Ability to effectively work on multiple projects simultaneously and effectively contend with competing priorities Must have strong troubleshooting, code optimization, and refactoring skills Ability to learn and adapt to continuously changing technology Must have a passion for development and the latest technologies Experienced at leading a team and mentoring junior developers Experienced at translating high-level requirements into logical tasks and identifying the technical requirements for each task Experience working with internal customers, research groups, and various business support areas Nice To Haves Designer’s eye Sitecore and CDN integration Hands-on experience in web application migration from Sitecore XP to Sitecore XM Cloud, integration with Coveo. Experience with UX patterns and ability to design complex applications Experience with CSS pre-compilers (SASS, LESS) Experience with client-side optimization (GZIP, sprites, minification, obfuscation, browser caching) About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice Show more Show less

Position Overview: The ideal candidate will have a solid foundation in Java programming, with additional exposure to Scala and Python being a plus. This role requires an understanding of data modeling concepts (such as with UML), and experience with Terraform-based infrastructure deployment (such as in AWS). Familiarity with messaging systems such as Kafka and IBM MQ, streaming processing technologies such as Flink, Flume, Spark or Ray, and knowledge of Spring and Spring Boot frameworks, is important. Experience with caching systems, in-memory databases like RocksDB or ElastiCache, and distributed caching is beneficial. The role also involves working with distributed system design, as well as understanding synchronous and asynchronous messaging principles and design. Key Responsibilities: Develop and maintain Java applications, with a preference for Java versions 11, 17, and 21. Utilize Scala and Python for specific project requirements as needed. Design and implement data models using UML concepts. Deploy and manage infrastructure using Terraform in AWS environments. Work with messaging systems, including Kafka and IBM MQ, to ensure efficient data communication. Implement solutions using Spring and Spring Boot frameworks. Manage caching systems and in-memory databases, ensuring optimal performance. Contribute to the design and development of distributed systems, leveraging technologies like Zookeeper and Kafka. Apply synchronous and asynchronous messaging principles in system design. Utilize serialization formats such as Protobuf, Avro, and FlatBuffer as applicable. Work with data formats like Parquet and Iceberg, and understand data warehouse and lakehouse concepts. Candidate Profile: Strong fundamentals in Java programming, with exposure to Scala and Python as a bonus. Fast learner with the ability to adapt to new technologies and methodologies. Creative thinker, open to innovative solutions beyond conventional approaches. Proactive and independent, capable of taking initiative and driving projects forward. Strong communication skills, able to collaborate effectively with cross-functional teams. Preferred Qualifications: Experience with Java versions 11, 17, and 21. Familiarity with Protobuf, Avro, and FlatBuffer serialization formats. Understanding of Parquet and Iceberg table formats. Knowledge of data warehouse and lakehouse concepts Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Overview The C/C# Support Analyst is responsible for monitoring, troubleshooting, and optimizing C/C# applications, ensuring seamless operation, performance, and availability of enterprise applications. The role involves incident resolution, debugging, performance tuning, database optimization, API troubleshooting, and CI/CD support. The analyst will work in an Agile, DevOps-driven environment supporting legacy modernization, stabilization, enhancements, and performance improvements for mission-critical Freight, Rail, and Logistics applications. Required Technical Skills 🔹 Programming & Debugging: C, C++, C#, .NET Core, ASP.NET, WinForms, WPF 🔹 API & Database Support: REST, SOAP, SQL Server, PostgreSQL, Entity Framework, Dapper 🔹 Performance & Optimization: Profiling tools (PerfView, dotTrace, Visual Studio Profiler) 🔹 Server & Deployment: IIS, Apache, Nginx, Windows Services, Docker, Kubernetes 🔹 DevOps & CI/CD: Jenkins, Azure DevOps, GitHub Actions, Terraform, Ansible 🔹 Cloud & Monitoring: AWS, Azure, GCP, Splunk, ELK Stack, Dynatrace 🔹 Security & Compliance: OAuth2, JWT, SSL/TLS, SonarQube, Fortify, OWASP Key Responsibilities 1️ ⃣ Incident Management & Troubleshooting ✅ Provide Level 2/3 support for C and C# applications, resolving crashes, performance issues, and integration failures. ✅ Debug memory leaks, concurrency issues, deadlocks, and threading problems in C/C# applications. ✅ Investigate and resolve .NET Framework/.NET Core issues, DLL conflicts, and application dependencies. ✅ Use Windows Event Logs, Debugging Tools (WinDbg, GDB, Visual Studio Debugger), and Log Monitoring to identify root causes. ✅ Work with ITIL-based Change, Incident, and Problem Management processes (JIRA, ServiceNow, Remedy). 2️ ⃣ API & Database Support ✅ Troubleshoot RESTful APIs, Web Services, and SOAP APIs in ASP.NET Web API and .NET Core. ✅ Debug and optimize SQL queries, stored procedures, and indexing strategies in SQL Server, PostgreSQL, or Oracle. ✅ Work with Entity Framework (EF), ADO.NET, and Dapper ORM for efficient data handling. ✅ Fix authentication and session management issues (OAuth2, JWT, Active Directory, LDAP). 3️ ⃣ Performance Optimization & Memory Management ✅ Identify and resolve performance bottlenecks in C/C# applications using profiling tools like PerfView, Visual Studio Profiler, and dotTrace. ✅ Optimize garbage collection, memory allocation, and CPU utilization in .NET and C applications. ✅ Improve application startup time, response latency, and thread execution efficiency. ✅ Tune database queries, caching mechanisms (Redis, Memcached), and data serialization (JSON, XML, Protobuf). 4️ ⃣ Windows & Linux Server Support ✅ Deploy, monitor, and troubleshoot C/C# applications running on Windows and Linux environments. ✅ Work with IIS, Apache, or Nginx for application hosting and configuration. ✅ Manage Windows Services, background jobs, and scheduled tasks for batch processing. ✅ Handle containerized applications (Docker, Kubernetes, OpenShift) in cloud environments. 5️ ⃣ CI/CD & DevOps Support ✅ Support CI/CD pipelines for C# applications using Jenkins, Azure DevOps, GitHub Actions, GitLab CI/CD. ✅ Assist in automated builds and deployments using MSBuild, NuGet, and Octopus Deploy. ✅ Work on Infrastructure as Code (Terraform, Ansible) for cloud-based deployments. ✅ Manage version control and branching strategies using Git, Bitbucket, or TFS. 6️ ⃣ Security & Compliance ✅ Ensure C/C# applications comply with security standards (GDPR, HIPAA, SOC 2, ISO 27001). ✅ Monitor and mitigate vulnerabilities using SonarQube, Fortify, and Veracode. ✅ Implement SSL/TLS security measures, secure API calls, and role-based authentication. ✅ Protect applications against buffer overflow, SQL injection, and OWASP Top 10 security threats. 7️ ⃣ Cloud & Monitoring Support ✅ Monitor application logs and errors using Splunk, ELK Stack, Application Insights, or Dynatrace. ✅ Support cloud-hosted applications on AWS, Azure, or GCP using Lambda, Azure Functions, or Cloud Run. ✅ Work with Azure App Services, AWS Elastic Beanstalk, or Kubernetes for hosting .NET applications. ✅ Ensure application scalability and availability using load balancing and auto-scaling strategies. 8️ ⃣ Collaboration & Documentation ✅ Work in Agile (Scrum/Kanban) environments for continuous improvement and support. ✅ Maintain technical documentation, runbooks, SOPs, and knowledge bases. 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Job Description What you will do Participate in the design, implementation, and support of network automation and orchestration solutions. Deploy and maintain the software and applications required for those solutions across the IntelsatOne network infrastructure and its services. Analyze day-to-day tasks performed by Network Engineering teams and demonstrate how they can be improved by automation and/or programmability with emphasis on facilitating faster, more reliable deployment of infrastructure and delivery of services. Treat the network as code and adopt a culture of continuous integration, continuous deployment, and continuous response with extensive, well-defined pipelines. Practice “management-by-metrics” where analytics and deep-learning through rigorous data collection are imperative; define metrics (KPI’s) and implement subsequent Service Level Agreements (SLA’s) for measuring network reliability. Represent the department always, as a technical SME; build a feedback loop between various cross-functional teams within Network Engineering to identify, quantify, and address network risks. Work closely with Finance, Engineering, and other departments to ensure the profitability of all project design. Provide proactive leadership to mentor and coach guidance to all team members. Your Required Experience/skills A Bachelor's Degree in Computer Science, Electrical Engineering, or similar discipline with at least 7 years of network and/or systems experience (or an equivalent amount of education and work experience). Subject matter expertise in IP Network Administration or Systems Administration, with a secondary discipline of either IP Network Administration, Systems Administration, or Application Deployment. Intermediate level understanding of software implementation and/or application deployment methodologies, practices, concepts, and solutions. Intermediate level understanding and/or implementation of network architectures, best practices, and protocols such as IPv4, IPv6, IS-IS, OSPF, MP-BGP, LDP, RSVP-TE, HSRP, VRRP, and STP. Experience with reading and manipulating modeling, data serialization, and encoding formats such as YANG, YAML, JSON, and XML, respectively, with an understanding of underlying structures and their performance. Experience in reading, dissecting, and consuming Application Programming Interfaces (API’s) in a RESTful architecture. Experience with high-level programming and/or scripting in Python, Go, and/or Shell, respectively, with emphasis on using network and/or data communication libraries to accomplish network automation and programmability tasks. Experience with IT automation tools such as Ansible. Experience working with IP network performance technologies and solutions to deliver Service Level Agreements (SLA’s) and optimize network infrastructures. Your success in this role will look like: Excellent verbal, written, analytical and communication skills Ability to analyze complex situations, utilize creative problem-solving abilities, and efficiently interact with peers. Ability to multitask. It would be nice if you had: Professional level network certifications such as the CCNP or JNCIP. Professional level Linux certifications such as the LFCS. Experience with Cisco Network Service Orchestrator (NSO). Experience with using virtualization and/or containers to scale compute, network, and application resources. Strong knowledge of software implementation and/or application deployment methodologies, practices, concepts, and solutions. How we support you: Hybrid work environment offering up to two days per week work from home (for eligible positions) Development opportunities supporting professional growth championed by our dedicated Learning & Development team. 20-25% of our positions are hired internally! Ways to get involved: satellite launch parties, company connect events, charitable activities, team social events, and recognition programs. Wide range of benefits and perks to help you stay healthy, happy, and productive. These include paid leave programs, medical, tuition reimbursement, and retirement benefits, employee wellness offerings, and more! These benefits are designed to support your overall well-being and help you succeed in your role. Equal Employment Opportunity Intelsat is an equal opportunity employer and does not discriminate based upon race, color, religion, sex, national origin, ethnicity, age, disability, pregnancy, veteran status, sexual orientation, gender identity or any other characteristic protected by applicable law . While it is important to note that meeting the minimum qualifications is a fundamental requirement for consideration, if you are enthusiastic about this role and are unsure how well your experience aligns with these requirements, we encourage you to apply. Our recruitment team will assess your application and determine if your skills and qualifications meet the essential criteria for this role or whether there might be another role within our organization that is a better match. Other Job Info: You will seek out areas of duplication and inefficiency that can either be replaced by existing tool sets or represent areas of opportunity to introduce automation. You will be able to create well-defined pipelines and processes, understanding the importance of defining and utilizing metrics to measure performance and promote continuous improvement. You will interact with Intelsat upstream and downstream teams to define detailed Statement of Work (SOW) documentation. Job requires ability to sit for long periods of time. About Us As the foundational architects of satellite technology, Intelsat applies our expertise to develop breakthrough solutions that advance and secure boundless applications for our customers and partners. At Intelsat, we increase human potential by connecting people, communities, businesses, and governments. Our employees enjoy a casual and collaborative environment, where we celebrate professional excellence in pursuit of the corporate mission. We hire skilled professionals who work in various areas such as: satellite engineering, network operations, cloud architecture, accounting, sales, legal, and more. Browse our current job openings or create a professional profile to stay informed about opportunities that match your interests and expertise. Intelsat is subject to regulation by certain U.S. Government national security agencies, which require that we collect and share certain Personally Identifiable Information (“PII”) with the U.S. Government to obtain permission to employ non-U.S. persons in certain roles. If selected for a role at Intelsat, we may collect and share your PII for these purposes. Intelsat is an Equal Opportunity Employer Show more Show less

Designation : SAP MM Consultant Job Location : Pune Experience : 5+ years of experience in SAP development/consulting is required. About The Role We are seeking a highly experienced and motivated SAP MM Consultant to join our dynamic team in Pune. The ideal candidate will have a strong background in SAP Material Management (MM) and a proven track record of successful end-to-end implementation projects. You will play a crucial role in shaping our SAP landscape, collaborating with business stakeholders, and ensuring the seamless deployment of robust SAP MM solutions. Key Responsibilities As an SAP MM Consultant, you will be instrumental in : Project Leadership & Execution : Actively participating in and driving at least one full end-to-end SAP MM implementation project, from conception to post-go-live support. Strategic Planning & Design : Leading and facilitating business workshops, gathering requirements, performing fit-gap analysis, and designing comprehensive SAP MM solutions tailored to business needs. Configuration & Deployment : Configuring core SAP MM functionalities, including but not limited to : SAP MM / WMS Organization Structure : Defining and configuring organizational elements such as Purchasing Organization, Plants, Storage Locations, and their integration with Warehouse Management System (WMS) components if applicable. Automatic Account Determination : Setting up precise automatic account determination for various inventory and procurement transactions to ensure accurate financial postings. Release Strategies and Pricing Procedures : Designing and implementing complex release strategies for purchasing documents (e.g., Purchase Requisitions, Purchase Orders) and configuring intricate pricing procedures to manage procurement costs. Batch Management and Serialization : Configuring and managing batch management processes for materials requiring specific handling and tracking, and implementing serialization where necessary. Inventory Management (IM) : Managing and optimizing all aspects of inventory, including goods movements (receipts, issues, transfers), stock types, special stocks, and inventory valuation. Physical Inventory : Planning, executing, and reconciling physical inventory counts to maintain accurate stock records. Reservations and Consumption-Based Planning : Setting up material reservations for future requirements and configuring consumption-based planning methods (e.g., reorder point planning, forecast-based planning) to ensure optimal stock levels. Procure-to-Pay (P2P) Process Optimization : Analyzing, designing, and optimizing the entire Procure-to-Pay cycle, from requisitioning to invoice verification. Master Data Management : Ensuring accurate and efficient setup and maintenance of MM master data, including Material Master, Vendor Master, Purchase Info Records, and Source Lists. Integration : Collaborating with consultants from other SAP modules (FI, SD, PP, QM) to ensure seamless integration and data flow across the SAP landscape. Testing & Quality Assurance : Developing and executing test plans, including unit testing, integration testing, and user acceptance testing (UAT), to validate solutions. Documentation & Training : Creating detailed functional specifications, configuration documents, user manuals, and providing training to end-users and key business stakeholders. Support & Continuous Improvement : Providing post-go-live support, troubleshooting issues, and identifying opportunities for process improvements and system enhancements. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Business Administration, Supply Chain Management, or a related field. Minimum of 5 years of hands-on experience in SAP MM consulting, with a strong emphasis on configuration and implementation. Demonstrated experience in at least one full end-to-end SAP MM implementation project. In-depth knowledge of SAP MM functionalities, best practices, and integration points with other SAP modules. Excellent analytical, problem-solving, and conceptual skills. Strong communication, presentation, and interpersonal skills, with the ability to effectively interact with business users and technical teams. Ability to work independently and collaboratively in a fast-paced environment. Preferred Skills SAP Certification in Material Management (MM). Experience with SAP S/4HANA MM implementation or conversion projects. Exposure to specific industry processes related to procurement and inventory management. Familiarity with ABAP debugging and understanding of technical specifications. Compensation : As per Industry Standard. (ref:hirist.tech) Show more Show less

SUMMARY Job Role: Core Java With J2EE & JDBC & Struts Professionals Experience: 6+ years Location: PAN INDIA Must-Have: The ideal candidate should possess at least 6 years of relevant experience in Core Java with J2EE & JDBC & Struts. Core Technical Skills Java SE (Standard Edition) Particularly versions 1.4 to 8: Object-Oriented Programming (OOP) Exception handling Collections framework Multithreading and concurrency File I/O and serialization J2EE / Java EE (Enterprise Edition) : Servlets and JSP EJB (Enterprise JavaBeans) JDBC (Java Database Connectivity) JMS (Java Messaging Service) JNDI (Java Naming and Directory Interface) Frameworks & Libraries : (Any one) Struts (1.x and 2.x) Hibernate (legacy versions) Apache Commons, Log4j Build & Deployment Tools : (Any one) Ant Maven (early versions) EAR/WAR packaging JAR management Application Servers : (Any one) IBM WebSphere Oracle WebLogic Apache Tomcat JBoss (now WildFly) Databases : (Any one) SQL (Oracle, MySQL, DB2) PL/SQL Legacy database integration

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. You'll have the opportunity to work with the latest technologies, ensuring the applications delivered are high performing, highly available, responsive, and maintainable. Your primary responsibilities include: Analytical Problem-Solving and Solution Enhancement: Analyze, validate and propose improvements to existing failures, with the support of the architect and technical leader. Comprehensive Engagement Across Process Phases: Involvement in every step of the process, from design, development, testing release changes and troubleshoot where necessary, providing a great customer service. Strategic Stakeholder Engagement and Innovative Coding Solutions: Drive key discussions with your stakeholders and analyze the current landscape for opportunities to operate and code creative solutions. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience with software development. Experience in have working knowledge on Java 8 or higher. Proven working experience on both Spring and Hibernate (Spring 4 or above). Experience in knowing OOP concepts well. Should be proficient in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File IO (Input/Output) and Serialization, Collections (List, Map, Set), Access Specifiers, Exceptions (Checked, Unchecked), Generics, Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management, Multithreading and Synchronization, JSP (Java Server Page)/ Servlets Preferred technical and professional experience Should be conversant with Build tools like Ant, Maven and Git Must have experience on Design patterns and Optimize usage. Proven work experience on Spring Core, Spring ORM, Spring DAO, Spring AOP, Hibernate would be an added advantage

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. You'll have the opportunity to work with the latest technologies, ensuring the applications delivered are high performing, highly available, responsive, and maintainable. Your primary responsibilities include: Analytical Problem-Solving and Solution EnhancementAnalyze, validate and propose improvements to existing failures, with the support of the architect and technical leader. Comprehensive Engagement Across Process PhasesInvolvement in every step of the process, from design, development, testing release changes and troubleshoot where necessary, providing a great customer service. Strategic Stakeholder Engagement and Innovative Coding SolutionsDrive key discussions with your stakeholders and analyze the current landscape for opportunities to operate and code creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience with software development. Experience in have working knowledge on Java 8 or higher. Proven working experience on both Spring and Hibernate (Spring 4 or above). Experience in knowing OOP concepts well. Should be proficient in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File IO (Input/Output) and Serialization, Collections (List, Map, Set), Access Specifiers, Exceptions (Checked, Unchecked), Generics, Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management, Multithreading and Synchronization, JSP (Java Server Page)/ Servlets Preferred technical and professional experience Should be conversant with Build tools like Ant, Maven and Git Must have experience on Design patterns and Optimize usage. Proven work experience on Spring Core, Spring ORM, Spring DAO, Spring AOP, Hibernate would be an added advantage

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. You'll have the opportunity to work with the latest technologies, ensuring the applications delivered are high performing, highly available, responsive, and maintainable. Your primary responsibilities include: Analytical Problem-Solving and Solution EnhancementAnalyze, validate and propose improvements to existing failures, with the support of the architect and technical leader. Comprehensive Engagement Across Process PhasesInvolvement in every step of the process, from design, development, testing release changes and troubleshoot where necessary, providing a great customer service. Strategic Stakeholder Engagement and Innovative Coding SolutionsDrive key discussions with your stakeholders and analyze the current landscape for opportunities to operate and code creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience with software development. Experience in have working knowledge on Java 8 or higher. Proven working experience on both Spring and Hibernate (Spring 4 or above). Experience in knowing OOP concepts well. Should be proficient in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File IO (Input/Output) and Serialization, Collections (List, Map, Set), Access Specifiers, Exceptions (Checked, Unchecked), Generics, Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management, Multithreading and Synchronization, JSP (Java Server Page)/ Servlets Preferred technical and professional experience Should be conversant with Build tools like Ant, Maven and Git Must have experience on Design patterns and Optimize usage. Proven work experience on Spring Core, Spring ORM, Spring DAO, Spring AOP, Hibernate would be an added advantage

Job Title: Senior Data Engineer Experience: 5+ Years Location: Remote Contract Duration: Short Term Work Time: IST Shift Job Description We are seeking a skilled and experienced Senior Data Engineer to develop scalable and optimized data pipelines using the Databricks Lakehouse platform. The role requires proficiency in Apache Spark, PySpark, cloud data services (AWS, Azure, GCP), and solid programming knowledge in Python and Java. The engineer will collaborate with cross-functional teams to design and deliver high-performing data solutions. Responsibilities Data Pipeline Development Build efficient ETL/ELT workflows using Databricks and Spark for batch and streaming data Utilize Delta Lake and Unity Catalog for structured data management Optimize Spark jobs using tuning techniques such as caching, partitioning, and serialization Cloud-Based Implementation Develop and deploy data workflows on AWS (S3, EMR, Glue), Azure (ADLS, ADF, Synapse), and/or GCP (GCS, Dataflow, BigQuery) Manage and optimize data storage, access control, and orchestration using native cloud tools Implement data ingestion and querying with Databricks Auto Loader and SQL Warehousing Programming and Automation Write clean, reusable, and production-grade code in Python and Java Automate workflows using orchestration tools like Airflow, ADF, or Cloud Composer Implement testing, logging, and monitoring mechanisms Collaboration and Support Work closely with data analysts, scientists, and business teams to meet data requirements Support and troubleshoot production workflows Document solutions, maintain version control, and follow Agile/Scrum methodologies Required Skills Technical Skills Databricks: Experience with notebooks, cluster management, Delta Lake, Unity Catalog, and job orchestration Spark: Proficient in transformations, joins, window functions, and tuning Programming: Strong in PySpark and Java, with data validation and error handling expertise Cloud: Experience with AWS, Azure, or GCP data services and security frameworks Tools: Familiarity with Git, CI/CD, Docker (preferred), and data monitoring tools Experience 5–8 years in data engineering or backend development Minimum 1–2 years of hands-on experience with Databricks and Spark Experience with large-scale data migration, processing, or analytics projects Certifications (Optional but Preferred) Databricks Certified Data Engineer Associate Working Conditions Full-time remote work with availability during IST hours Occasional on-site presence may be required during client visits No regular travel required On-call support expected during deployment phases Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Analytics Engineer II - Hyderabad, India . About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Roles & Responsibilities As a Analytics Engineer II, you will perform data analytics and data visualization-related efforts for the Data & Analytics organization at WBD. You’re an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations) with the support of the larger team. You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Data & Analytics team to drive business insights and strategy. Design and implement data models that support flexible querying and data visualization Partner with stakeholders to understand business questions and build out advanced analytical solutions Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage Participate in the creation and support of analytics development standards and best practices Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis Work proactively with stakeholders to understand the business need and build data analytics capabilities – especially in large enterprise use cases Identify and explore new opportunities through creative analytical and engineering methods What To Bring Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.) 3+ years of relevant experience in business intelligence/data engineering Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases Experience in transforming flawed/changing data into consistent, trustworthy datasets Experience with general-purpose programming (e.g. Python, Scala or other) dealing with a variety of data structures, algorithms, and serialization formats will be a plus Experience with big-data technologies (e.g. Spark, Hadoop, Snowflake etc) Advanced ability to build reports and dashboards with BI tools (such as Looker, Tableau or PowerBI) Experience with analytics tools such as Athena, Redshift, BigQuery or Snowflake Proficiency with Git (or similar version control) and CI/CD best practices will be a plus Ability to write clear, concise documentation and to communicate generally with a high degree of precision. Ability to solve ambiguous problems independently Ability to manage multiple projects and time constraints simultaneously Care for the quality of the input data and how the processed data is ultimately interpreted and used Prior experience in large enterprise use cases such as Sales Analytics, Financial Analytics, or Marketing Analytics Strong written and verbal communication skills Characteristics & Traits Naturally inquisitive, critical thinker, proactive problem-solver, and detail-oriented Positive attitude and an open mind Strong organizational skills with the ability to act independently and responsibly Self-starter, comfortable initiating projects from design to execution with minimal supervision Ability to manage and balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment and can manage time effectively to consistently meet deadlines Team player and relationship builder What We Offer A Great Place to work. Equal opportunity employer Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth. You can learn more about us at: http://www.cesltd.com/ Job Description Experience with Azure Synapse Analytics: Hands-on experience in designing, developing, and deploying solutions using Azure Synapse Analytics, including familiarity with its various components such as SQL pools, Spark pools, and Integration Runtimes. Expertise in Azure Data Lake Storage: In-depth understanding of Azure Data Lake Storage, including its architecture, features, and best practices for managing a large-scale Data Lake or Lakehouse in an Azure environment. Experience with AI Tools: Experience with AI Tools and LLMs (e.g. GitHub Copilot, Copilot, ChatGPT) in automating many of the responsibilities outlined for this role. Knowledge of Avro and Parquet: Experience working with Avro and Parquet file formats, including data serialization, compression techniques, and schema evolution. Understanding of their advantages and use cases in a big data environment. Healthcare: Prior experience working with data in a healthcare or clinical laboratory environment and a strong understanding of PHI, GDPR & HIPPA/HITRUST is highly desirable. Certifications: Relevant certifications such as Azure Data Engineer Associate or Azure Synapse Analytics Developer Associate are highly desirable. Essential Functions Data Integration and ELT Development: Design, develop, and maintain data pipelines for ingestion, transformation, and loading of data into Azure Synapse Analytics. This includes understanding functional and non-functional requirements, performing source data analysis, data profiling, and implementing efficient ELT processes. Azure Synapse Development: Work with Azure Synapse Analytics to build and optimize data models, SQL queries, stored procedures, and other artifacts necessary for data processing and analysis. Data Lake File Handling: Understand the characteristics of various file formats, optimizing data storage, and implementing efficient data reading and writing mechanisms for incremental updates within Azure Synapse Analytics. Data Governance and Security: Ensure compliance with data governance policies and implement security measures to protect sensitive data stored in Azure. This involves encryption, masking, and access control mechanisms. Performance Optimization: Continuously optimize data pipelines and storage configurations to improve performance, scalability, and reliability. This includes identifying bottlenecks, query tuning, and leveraging Azure Synapse Analytics features for parallel processing. Monitoring and Troubleshooting: Implement monitoring solutions to track data pipeline performance, data quality, and system health. Troubleshoot issues related to data ingestion, transformation, or storage, and provide timely resolutions. Skills Needed to be Successful Relational Database Experience: Proficiency with one or more of the following database platforms; e.g. Oracle, Microsoft SQL Server, PostgreSQL, MySQL/MariaDB Proficiency in SQL: Strong SQL skills, including experience with complex SQL queries, stored procedures, and performance optimization techniques. Familiarity with T-SQL for Azure Synapse Analytics is a plus. ELT and Data Integration Skills: Proven experience in building ELT pipelines and data integration solutions using tools like Azure Data Factory, Oracle Golden Gate, or similar platforms. Ability to handle a variety of legacy data sources and file formats efficiently. Data Modeling and Warehousing Concepts: Familiarity with dimensional modeling, star schemas, and data warehousing principles. Experience in designing and implementing data models for analytical workloads. Analytical and Problem-Solving Abilities: Strong analytical skills with the ability to understand complex data requirements, troubleshoot technical issues, and propose effective solutions to meet business needs. Communication and Collaboration: Excellent communication skills with the ability to collaborate effectively with cross-functional teams, including Data Scientists, Reporting Analysts, and DevOps professionals. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Position Summary We are seeking an Apache Hadoop - Subject Matter Expert (SME) who will be responsible for designing, optimizing, and scaling Spark-based data processing systems. This role involves hands-on experience in Spark architecture and core functionalities, focusing on building resilient, high-performance distributed data systems. You will collaborate with engineering teams to deliver high-throughput Spark applications and solve complex data challenges in real-time processing, big data analytics, and streaming. If you’re passionate about working in fast-paced, dynamic environments and want to be part of the cutting edge of data solutions, this role is for you. We’re Looking For Someone Who Can Design and optimize distributed Spark-based applications, ensuring low-latency, high-throughput performance for big data workloads. Troubleshooting: Provide expert-level troubleshooting for any data or performance issues related to Spark jobs and clusters. Data Processing Expertise: Work extensively with large-scale data pipelines using Spark's core components (Spark SQL, DataFrames, RDDs, Datasets, and structured streaming). Performance Tuning: Conduct deep-dive performance analysis, debugging, and optimization of Spark jobs to reduce processing time and resource consumption. Cluster Management: Collaborate with DevOps and infrastructure teams to manage Spark clusters on platforms like Hadoop/YARN, Kubernetes, or cloud platforms (AWS EMR, GCP Dataproc, etc.). Real-time Data: Design and implement real-time data processing solutions using Apache Spark Streaming or Structured Streaming. What Makes You The Right Fit For This Position Expert in Apache Spark: In-depth knowledge of Spark architecture, execution models, and the components (Spark Core, Spark SQL, Spark Streaming, etc.) Data Engineering Practices: Solid understanding of ETL pipelines, data partitioning, shuffling, and serialization techniques to optimize Spark jobs. Big Data Ecosystem: Knowledge of related big data technologies such as Hadoop, Hive, Kafka, HDFS, and YARN. Performance Tuning and Debugging: Demonstrated ability to tune Spark jobs, optimize query execution, and troubleshoot performance bottlenecks. Experience with Cloud Platforms: Hands-on experience in running Spark clusters on cloud platforms such as AWS, Azure, or GCP. Containerization & Orchestration: Experience with containerized Spark environments using Docker and Kubernetes is a plus. Good To Have Certification in Apache Spark or related big data technologies. Experience working with Acceldata's data observability platform or similar tools for monitoring Spark jobs. Demonstrated experience with scripting languages like Bash, PowerShell, and Python. Familiarity with concepts related to application, server, and network security management. Possession of certifications from leading Cloud providers (AWS, Azure, GCP), and expertise in Kubernetes would be significant advantages. Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Overview The Java Support Analyst is responsible for maintaining, troubleshooting, and optimizing enterprise Java applications . This role involves incident resolution, performance tuning, API troubleshooting, database optimization, and CI/CD deployment support . The analyst will work in an Agile, DevOps-driven environment and support legacy modernization, application enhancements, stabilization, and performance improvements for mission-critical applications in Freight, Rail, and Logistics industries. Required Technical Skills 🔹 Java, Spring Boot, Hibernate, JPA, REST APIs, Microservices 🔹 Database performance tuning (Oracle, MySQL, PostgreSQL, SQL Server, MongoDB) 🔹 CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps) 🔹 Cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes) 🔹 Monitoring tools (Splunk, ELK, Dynatrace, AppDynamics, New Relic) 🔹 Security frameworks (OAuth, JWT, SAML, SSL/TLS, LDAP, Active Directory) Key Responsibilities 1️ ⃣ Incident & Problem Management ✅ Provide Level 2/3 support for Java applications, resolving production issues, API failures, and backend errors. ✅ Diagnose and troubleshoot Java-based application crashes, memory leaks, and performance bottlenecks . ✅ Analyze logs using Splunk, ELK Stack, Dynatrace, AppDynamics, or New Relic . ✅ Work with ITIL-based Incident, Problem, and Change Management processes. ✅ Perform root cause analysis (RCA) for recurring production issues and implement permanent fixes. 2️ ⃣ Java Application Debugging & Optimization ✅ Debug and analyze Java applications built on Spring Boot, Hibernate, and Microservices . ✅ Fix issues related to RESTful APIs, SOAP web services, JSON/XML parsing, and data serialization . ✅ Optimize Garbage Collection (GC), CPU, and memory utilization for Java applications. ✅ Work with Java profiling tools (JVisualVM, YourKit, JProfiler) to identify slow processes. ✅ Assist developers in resolving code-level defects and SQL performance issues . 3️ ⃣ API & Integration Support ✅ Troubleshoot REST APIs, SOAP services, and microservices connectivity issues . ✅ Monitor and debug API Gateway traffic (Kong, Apigee, AWS API Gateway, or Azure API Management) . ✅ Handle authentication and security for APIs using OAuth 2.0, JWT, SAML, and LDAP . ✅ Work on third-party system integrations with SAP, Salesforce, ServiceNow, or Workday. 4️ ⃣ Database Support & SQL Performance Tuning ✅ Analyze and optimize SQL queries, stored procedures, and indexing strategies . ✅ Troubleshoot deadlocks, connection pooling, and slow DB transactions in Oracle, PostgreSQL, MySQL, or SQL Server . ✅ Work with NoSQL databases like MongoDB, Cassandra, or DynamoDB for cloud-based applications. ✅ Manage ORM (Hibernate, JPA) configurations for efficient database transactions. 5️ ⃣ CI/CD & Deployment Support ✅ Support CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps . ✅ Work on Docker and Kubernetes-based deployments for Java applications. ✅ Assist in automated testing and validation before production releases. ✅ Troubleshoot deployment failures, rollback strategies, and hotfix releases . 6️ ⃣ Cloud & DevOps Support ✅ Monitor Java applications deployed on AWS, Azure, or GCP using CloudWatch, Azure Monitor, or Stackdriver . ✅ Support containerized deployments using Kubernetes, OpenShift, or ECS . ✅ Manage logging, monitoring, and alerting for cloud-native Java applications . ✅ Assist in configuring Infrastructure as Code (Terraform, Ansible, or CloudFormation) for DevOps automation. 7️ ⃣ Security & Compliance Management ✅ Ensure Java applications comply with security standards (GDPR, HIPAA, SOC 2, ISO 27001) . ✅ Monitor and mitigate security vulnerabilities using SonarQube, Veracode, or Fortify . ✅ Implement SSL/TLS security measures and API rate limiting to prevent abuse. 8️ ⃣ Collaboration & Documentation ✅ Work in Agile (Scrum/Kanban) environments for application support and bug fixes. ✅ Maintain technical documentation, troubleshooting guides, and runbooks . ✅ Conduct knowledge transfer sessions for junior support engineers. 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At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Overview The Java Support Analyst is responsible for maintaining, troubleshooting, and optimizing enterprise Java applications . This role involves incident resolution, performance tuning, API troubleshooting, database optimization, and CI/CD deployment support . The analyst will work in an Agile, DevOps-driven environment and support legacy modernization, application enhancements, stabilization, and performance improvements for mission-critical applications in Freight, Rail, and Logistics industries. Required Technical Skills 🔹 Java, Spring Boot, Hibernate, JPA, REST APIs, Microservices 🔹 Database performance tuning (Oracle, MySQL, PostgreSQL, SQL Server, MongoDB) 🔹 CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps) 🔹 Cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes) 🔹 Monitoring tools (Splunk, ELK, Dynatrace, AppDynamics, New Relic) 🔹 Security frameworks (OAuth, JWT, SAML, SSL/TLS, LDAP, Active Directory) Key Responsibilities 1️ ⃣ Incident & Problem Management ✅ Provide Level 2/3 support for Java applications, resolving production issues, API failures, and backend errors. ✅ Diagnose and troubleshoot Java-based application crashes, memory leaks, and performance bottlenecks . ✅ Analyze logs using Splunk, ELK Stack, Dynatrace, AppDynamics, or New Relic . ✅ Work with ITIL-based Incident, Problem, and Change Management processes. ✅ Perform root cause analysis (RCA) for recurring production issues and implement permanent fixes. 2️ ⃣ Java Application Debugging & Optimization ✅ Debug and analyze Java applications built on Spring Boot, Hibernate, and Microservices . ✅ Fix issues related to RESTful APIs, SOAP web services, JSON/XML parsing, and data serialization . ✅ Optimize Garbage Collection (GC), CPU, and memory utilization for Java applications. ✅ Work with Java profiling tools (JVisualVM, YourKit, JProfiler) to identify slow processes. ✅ Assist developers in resolving code-level defects and SQL performance issues . 3️ ⃣ API & Integration Support ✅ Troubleshoot REST APIs, SOAP services, and microservices connectivity issues . ✅ Monitor and debug API Gateway traffic (Kong, Apigee, AWS API Gateway, or Azure API Management) . ✅ Handle authentication and security for APIs using OAuth 2.0, JWT, SAML, and LDAP . ✅ Work on third-party system integrations with SAP, Salesforce, ServiceNow, or Workday. 4️ ⃣ Database Support & SQL Performance Tuning ✅ Analyze and optimize SQL queries, stored procedures, and indexing strategies . ✅ Troubleshoot deadlocks, connection pooling, and slow DB transactions in Oracle, PostgreSQL, MySQL, or SQL Server . ✅ Work with NoSQL databases like MongoDB, Cassandra, or DynamoDB for cloud-based applications. ✅ Manage ORM (Hibernate, JPA) configurations for efficient database transactions. 5️ ⃣ CI/CD & Deployment Support ✅ Support CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps . ✅ Work on Docker and Kubernetes-based deployments for Java applications. ✅ Assist in automated testing and validation before production releases. ✅ Troubleshoot deployment failures, rollback strategies, and hotfix releases . 6️ ⃣ Cloud & DevOps Support ✅ Monitor Java applications deployed on AWS, Azure, or GCP using CloudWatch, Azure Monitor, or Stackdriver . ✅ Support containerized deployments using Kubernetes, OpenShift, or ECS . ✅ Manage logging, monitoring, and alerting for cloud-native Java applications . ✅ Assist in configuring Infrastructure as Code (Terraform, Ansible, or CloudFormation) for DevOps automation. 7️ ⃣ Security & Compliance Management ✅ Ensure Java applications comply with security standards (GDPR, HIPAA, SOC 2, ISO 27001) . ✅ Monitor and mitigate security vulnerabilities using SonarQube, Veracode, or Fortify . ✅ Implement SSL/TLS security measures and API rate limiting to prevent abuse. 8️ ⃣ Collaboration & Documentation ✅ Work in Agile (Scrum/Kanban) environments for application support and bug fixes. ✅ Maintain technical documentation, troubleshooting guides, and runbooks . ✅ Conduct knowledge transfer sessions for junior support engineers. 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