SVN System Technologies is looking for DevOps Engineer to join our dynamic team and embark on a rewarding career journey Manage cloud infrastructure and deployments on Azure Automate CI/CD pipelines for software releases Monitor and optimize system performance Ensure security and compliance in cloud environments

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise AWS Data Vault 2.0 development mechanism for agile data ingestion, storage and scaling Databricks for complex queries on transformation, aggregation, business logic implementation aggregation, business logic implementation AWS Redshift and Redshift spectrum, for complex queries on transformation, aggregation, business logic implementation DWH Concept on star schema, Materialize view concept. Strong SQL and data manipulation/transformation skills Preferred technical and professional experience Robust and Scalable Cloud Infrastructure End-to-End Data Engineering Pipeline Versatile Programming Capabilities

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. Your primary...More... Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Creative problem-solving skills and superb communication Skill. Should have worked on at least 3 engagements modernizing client applications Container based solutions. Should be expert in any of the programming languages like Java, .NET...More Preferred technical and professional experience Experience in distributed/scalable systems Knowledge of standard tools for optimizing and testing code Knowledge/Experience of Development/Build/Deploy/Test life cycle

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

You are responsible for Interacting with business / client stakeholders and assessing requirements for the new reconciliation and responsible for matching rule prototype, configuration and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Designs and implements test strategies for testing the integrated Power Automate workflows - Investigates, analyses the automated processes and ensures the requirements are met Excellent understanding of RPA products and technologies, and upcoming trends in RPA technology landscape. Test the workflows built Strong knowledge of Assets, Queues and related activities – Should be able to assess business processes rigorously in order to determine whether the business processes are ideal for automation or not. Excellent understanding of RPA products and technologies, and upcoming trends in RPA technology landscape. Test the workflows built Strong knowledge of Assets, Queues and related activities – Good Communication skill, should be able to run playback, demo, UAT sessions independently with Client teams Preferred technical and professional experience Determines, designs and implements the number of processes and the number of modules within each process using Power Automate, to map to the overall solution to address the client process automation requirement Integrates the modules developed by the junior developer in the overall solution Designs and implements the key configurable items in the Power Automate workflows to be utilised in the entire solution Designs and implements test strategies for testing the integrated Power Automate workflows - Investigates, analyses the automated processes and ensures the requirements are met

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modelling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges

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. Your primary responsibilities include: Comprehensive Feature Development and Issue ResolutionWorking on the end-to-end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Relevant experience with APIM, Azure API Management experience Proficient in .Net Proficient with Azure Platform Development (Azure Functions, Azure Services etc) Candidate should be from .NET background Azure Services like Azure Functions , API Integration , Logic Apps, APIM, Azure Storage (Blob, Table), Cosmos DB etc Preferred technical and professional experience .Net Azure Full stack Proficient in .Net Core with hands on coding in .Net core

In a typical day, you will be owning the execution plan for customers. As their business need change, you will need to assess and recalculate the path to success. You will interact regularly with the customer’s team and even take action to make changes to the customer’s cloud account to execute your recommendations. You will identify gaps that the customer may have that would prevent them from achieving that success and then build plans to close those gaps. Working closely with FinOps Principals, you will document and present your findings with the customer and encourage open productive discussion. Plan, execute and track new and existing customers Cloud Savings Program across AWS and/or Azure. Lead discussions and manage customer’s commitment based discounts across all savings instruments. Analyze customer business objectives and use the Apptio Cloudability platform to build insightful reporting, dashboards and savings program Perform analysis and present regular operational reviews to customer & Apptio leadership Collaborate with an internal global team to grow a strategically important part of the Apptio business Partner with other Apptio domain experts to bring together the collective suite of Apptio products to generate insights across customers total IT spend Be the voice of the customer, champion and advocate for customer requirements with our Product and Engineering teams. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Overall, 5+ years of industry experience. Hands-on experience with a cloud vendor (AWS or Azure or GCP). Certification in AWS Practitioner or Azure AZ900 Plan, execute and track new and existing customers Cloud Savings Program across CSP's . Deep knowledge of rate optimization at AWS (Savings Plans, Reserved Instances) Track record of increasing FinOps maturity Demonstrated ability to break down complex problems into sub-tasks and track outcomes Experience in customer-facing roles such as consulting, customer success or equivalent experience Lead discussions and manage customer’s commitment based discounts across all savings instruments. Analyze customer business objectives and use the Apptio Cloudability platform to build insightful reporting, dashboards and savings program Perform analysis and present regular operational reviews to customer & Apptio leadership Collaborate with global team to grow a strategically important part of the Apptio business Partner with other Apptio domain experts to bring together the collective suite of Apptio products to generate insights across customers total IT spend Be the voice of the customer, champion and advocate for customer requirements with our Product and Engineering teams Excellent verbal, written and interpersonal communication skills in both technical and non technical contexts Preferred technical and professional experience

You are responsible for Interacting with business / client stakeholders and assessing requirements for the new reconciliation and responsible for matching rule prototype, configuration and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Designs and implements test strategies for testing the integrated Power Automate workflows - Investigates, analyses the automated processes and ensures the requirements are met Excellent understanding of RPA products and technologies, and upcoming trends in RPA technology landscape. Test the workflows built Strong knowledge of Assets, Queues and related activities - Should be able to assess business processes rigorously in order to determine whether the business processes are ideal for automation or not. Excellent understanding of RPA products and technologies, and upcoming trends in RPA technology landscape. Test the workflows built Strong knowledge of Assets, Queues and related activities - Good Communication skill, should be able to run playback, demo, UAT sessions independently with Client teams Preferred technical and professional experience Determines, designs and implements the number of processes and the number of modules within each process using Power Automate, to map to the overall solution to address the client process automation requirement Integrates the modules developed by the junior developer in the overall solution Designs and implements the key configurable items in the Power Automate workflows to be utilised in the entire solution Designs and implements test strategies for testing the integrated Power Automate workflows - Investigates, analyses the automated processes and ensures the requirements are met

Develop and maintain full stack web applications using React and Python or Golang. Collaborate with designers, product managers, and backend developers to create seamless user experiences. Write clean, efficient, and maintainable code for both frontend and backend components. Build and integrate RESTful APIs. Optimize application for performance, scalability, and security. Participate in code reviews, testing, and continuous integration practices. Troubleshoot and debug issues across the stack. Stay up-to-date with emerging technologies and best practices in software development. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 4+ years of experience in full stack development. Strong proficiency in React.js , including hooks, state management (e.g., Redux/Context API), and component lifecycle. Experience in backend development using Python (Django/Flask/FastAPI) or Golang . Solid understanding of RESTful API design and implementation. Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with version control systems like Git. Experience with CI/CD pipelines and deployment workflows (Docker, Kubernetes is a plus). Understanding of software development principles, patterns, and best practices. Preferred technical and professional experience Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of GraphQL, WebSockets, or real-time data handling. Familiarity with testing frameworks like Jest, PyTest, or Go’s testing package. Exposure to agile development methodologies.

Provide complete database administration support for assigned applications. Maintain information in the DDS inventory for supported applications. Participation in design sessions with application teams. Participation in application review meetings prior to deployment. Review of all DDL changes prior to deployment to ensure standards are met and design doesn’t adversely impact performance of the application. Participate in DDS infrastructure changes impacting supported applications. Log and address defects as needed. Proactive monitoring to ensure general health of application databases. Proactive review of storage consumption and identifying requirements Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL DBA Architect. Preferred technical and professional experience Experience in DDS, DDL

Developer leads the cloud application development/deployment for client based on AWS development methodology, tools and best practices. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Java 8 and above SpringBoot, Rest API and Containerization with Docker. Development experience in Java. Good communication skills. Any cloud exposure AWS/GCP/Azure Preferred technical and professional experience Creative Problem solving skills Good communication skills

As a Front End Developer Implement security measures to protect data and applications. Work closely with data scientists, AI researchers, and other engineers to deliver high-quality AI-driven solutions. Deploy applications to cloud platforms, monitor their performance, and make necessary improvements. End-to-End designing, developing, and maintaining full-stack applications, ensuring seamless integration between frontend and back-end components. Design and develop web applications using React.js and Node.js Enhance the user experience of web applications by integrating React components Debug and troubleshoot React and Node.js applications Implement best practices for front-end development Collaborate with other developers to ensure application performance Ensure the quality of code and maintain code standards Manage source control and version control for applications Develop and maintain RESTful APIs to connect applications to backend services Monitor application performance and take corrective measures Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proficiency in JavaScript, ES6 + – Strong understanding of modern JavaScript concepts and best practices. React.js Expertise – Hands-on experience with React.js, including state management (Redux, Context API), component lifecycle, hooks, and performance optimization. Node.js & Express.js – Strong knowledge of server-side development using Node.js and Express.js to build scalable backend applications. RESTful APIs & GraphQL – Experience in designing, developing, and consuming APIs to enable seamless communication between front-end and back-end services. Database Management – Working knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase) databases. Version Control – Proficiency in Git and GitHub/GitLab for source code management and collaboration. Frontend Development – Strong understanding of HTML5, CSS3, SCSS, Tailwind CSS, and responsive design principles. Authentication & Security – Experience with JWT, OAuth, session-based authentication, and implementing security best practices to protect applications. Cloud & Deployment – Familiarity with AWS, Azure, or Google Cloud for hosting, CI/CD pipelines, Docker, and Kubernetes. Testing & Debugging – Experience with unit testing (Jest, Mocha), integration testing, and debugging tools to ensure code quality. Preferred technical and professional experience Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. Experience working in EdTech or similar industries. Familiarity with cloud platforms (AWS, Azure, or GCP) is a bonus.

Candidate should have the sound Technical knowledge along with good understanding of Business processes for both Make to Stock and Make to Order scenario for a manufacturing industry. Experience and knowledge in terms of understanding Pentair business Process and solution design/SAP configuration is not replaceable at this point of time given we are closing out build phase and entering test phase/defect resolution .His replacement at this point of time will delay build phase and delay project schedule. His replacement at this point of time will delay build phase and delay project schedule. Given rapid pace of this project and his deep understanding of project process, methodology and client relationship we are asking him to be extended for 9 months to cover project go-live and hypercare. The project, including hypercare, will end in Mar 2024 and we will not need any replacements. Hence succession planning is out of scope. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in handling flexible workflow pertaining to S/4 HANA SCM Deep knowledge of SD-MM, MM-QM and MM-WM integration Good understanding of Kanban Box integration Preferred technical and professional experience Experience in SAP S/4 HANA SCM Good understanding of Microsoft Azure Dev Ops tool Worked as a Scrum Master and certified in Scale Agile 5.0

Your Role and Responsibilities Data and AI Development team is looking for enthusiastic and talented Backend Development Engineer with Ansible Operator expertise to join us. Our services belong to Match360 product portfolio. Our services are tightly integrated with IBM Cloud Pak for Data where customers can access a suite of leading data and AI capabilities in a unified experience. You are a Backend Developer, who will Design, develop and/or re-engineer complex product components, and integrate software packages, programs and reusable objects residing on multiple platforms. As an ambitious individual who can work under senior architect’s direction towards agreed targets and goals, you have the ability to manage change and to work under stress. You are curious to learn as demonstrated by your up-to-date technical knowledge. You are a good team player and you are familiar with Agile methodologies and principles and/or have experience working in an Agile team. We seek an applicant who will thrive in an open, dynamic, flexible, fun, spirited, collaborative environment; an individual who desires creative freedom and the opportunity to work in a high performing team. Job Responsibilities: As a Backend developer you will be responsible for development/ maintenance/ Support of the Match360 applications through the full systems development lifecycle. Participate in the design and implementation of sophisticated software systems You will work with the Product Architects, Product Managers to understand various priorities and work towards the execution. Participate in software design and code reviews. Reviews include other Software Engineers and are held to ensure a high level of software quality and to share knowledge with team members. Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), and GitHub. Ensure good code coverage. Support bug fixes during testing and deploy to target environments. Participate in the planning, creation and execution of automated test cases and load/performance testing. Create/maintain technical documentation. Hands on experience in handling and debugging customer issues, work with L2 support team. Maintain a high level of proficiency with Computer Science/Software Engineering knowledge and contribute to the technical skills growth of other team members. You will be providing vigilance and compliance to various software engineering, support and release processes e.g security, stack upgrades that are free of vulnerabilities etc. Required education Bachelor's Degree Required technical and professional expertise 5-10 years of professional/industrial experience in software development. Expertise with Core Java, Java J2EE, Docker, Kubernetes, Ansible ( playbook & development ), MicroServices Architecture, Python, Shell Scripting, Ruby, GoLang etc. using Ansible Operator Proficiency in container-based deployment using OpenShift Container Platform (OCP), Amazon AWS, Microsoft Azure, Google Cloud etc. Working knowledge of system architecture, network protocols such as TCP/IP, HTTP etc. Working knowledge of database technologies such as SQL or NoSQL, GraphDB's. Experience in using messaging brokers like RabbitMQ, Kafka etc. Experience in building secure, robust, scalable and maintainable software and is open to learn open source tools and automating processes. Working knowledge on tools like GitHub, Jenkins, Maven/Gradle. Understanding and experience with Linux Operating Systems (such as Red Hat, Ubuntu, etc.). Understanding and experience with DevOps, Agile, and Design/Implementation within CI/CD and Secure Software Engineering Best Practices. Understanding and experience writing and executing Unit and Integration Tests as part of Test Driven DevOps Development. Ability to learn and apply new technologies quickly. Strong sense of ownership of deliverables. Preferred technical and professional experience Strong sense of ownership of deliverables. Ability to learn and apply new technologies quickly. An authority on Cloud Native Application architecture, Docker's and Microservices. Working experience on Docker/Kubernetes, the DevOps, Micro services. Worked on building automation test frameworks.

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 7+ Yrs total experience in Data Engineering projects & 4+ years of relevant experience on Azure technology services and Python Azure Azure data factory, ADLS- Azure data lake store, Azure data bricks, Mandatory Programming languages Py-Spark, PL/SQL, Spark SQL Database SQL DB Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc. Data Warehousing experience with strong domain Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc.

Key Responsibilities: Design and develop robust, scalable enterprise microservices using Java (Spring Boot) Create responsive and user-centric front-end components using React.js and modern UI frameworks. Develop and integrate secure APIs with JWT and OAuth2 for seamless and authenticated user experiences. Work collaboratively within Agile and DevSecOps teams , contributing to end-to-end development cycles. Deploy, monitor, and maintain applications in containerized environments using Kubernetes and Docker . Optimize system performance and scalability, particularly for data-intensive workloads . Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience: Minimum 2 years of hands-on experience in Java, API development frameworks, and Kubernetes in enterprise environments. Preferred technical and professional experience Java, API, Springboot, Kubernetes

Key Responsibilities Strategic Partnership ManagementOwn and nurture relationships with key OEM partners to drive joint business growth and market expansion. Executive EngagementBuild and maintain strong C-level relationships with partners to align on business objectives and co-create strategic initiatives. Business GrowthIdentify and execute revenue-generating opportunities through joint GTM (Go-To-Market) strategies, co-selling, and demand generation. Ecosystem & Alliance StrategyDevelop and implement partner strategies to expand Red Hat’s footprint within the OEM ecosystem. Open Source & Software ExpertiseLeverage deep understanding of software business models, open-source dynamics, and hybrid cloud technologies to drive partner success. Collaboration with Internal TeamsWork closely with sales, marketing, product, and alliances teams to ensure partner success and alignment with Red Hat’s objectives. Performance TrackingMonitor and report on partner performance, ensuring KPIs and revenue targets are met. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6–12 years of experience in partner management, alliances, or business development, preferably in enterprise software, cloud, or open-source technology. Proven track record of managing large global partnerships (OEMs, ISVs, hyperscalers, or system integrators). Strong executive presence with experience engaging with C-level stakeholders. Deep understanding of software business models, open-source ecosystems, and cloud technologies. Growth mindset with a focus on driving revenue and expanding market reach. Excellent negotiation, communication, and strategic thinking skills. Experience in alliance strategy, joint GTM planning, and co-selling motions Preferred technical and professional experience Familiarity with Red Hat’s portfolio (OpenShift, RHEL, Ansible, etc.) or competitive technologies. Experience in hybrid cloud, Kubernetes, and enterprise software solutions Ability to navigate complex partner landscapes and drive multi-stakeholder initiatives.

A proven and credible practitioner, your deep solution experience will help you lead a team of go-to subject matter experts. Fostering a culture of candour, collaboration, and growth-mindedness, you'll ensure co-creation across IBM Sales and client teams that drive investment in, and adoption of IBM's strategic platforms. Overseeing your teams' fusion of innovative solutions with modern IT architectures, integrated solutions, and offerings, you'll ensure they're helping to solve some of their clients most complex business challenges. We're committed to success. In this role, your achievements will drive your career, team, and clients to thrive. A typical day may involve: Strategic Team Leadership: Leading a team of technical sales experts to co-create innovative solutions with clients. Partnership and Prototype Excellence: Collaborating with IBM and partners to deliver compelling prototypes. Optimizing Resource Utilization: Promoting maximum use of IBM's Technology Sales resources. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Relevant software development experience with fairly Full stack profile Proficient in .Net Core with Angular, with hands on coding in .Net core . Proficient in Web API, MVC and Microservices. Proficient with Azure Platform Development (Azure Functions, Azure Services etc) Preferred technical and professional experience .Net Azure Full stack Proficient in .Net Core with Angular, with hands on coding in .Net core

Understand product vision and business needs to define product requirements and product architectural solutions. Use tools and methodologies to create representations for functions and user interface of desired product Develop high-level product specifications with attention to system integration and feasibility Define all aspects of development from appropriate technology and workflow to coding standards Communicate successfully all concepts and guidelines to development team Ensure software meets all requirements of quality, security, modifiability, extensibility etc. Collaborate with other professionals to determine functional and non-functional requirements for new software or applications Provide support for production escalations and problem resolution for customers. Analyse requirements, design develop & maintain software products in alignment with the technology strategy of the organization Participate in technical reviews of requirements, specifications, designs, code and other artifacts. Ensure commitments are agreed, reviewed and met. Learn new skills and adopt new practices readily in order to develop innovative and cutting-edge software products that maintain Company's technical leadership position. Plan, develop and manage the infrastructure to enable strategic and effective use of tools. Lead the evaluation/evolution of tools/technologies/programs with input from internal teams, external developers. Proactively identifying issues and improvement opportunities. Directing resources to diagnose and resolve complex system, application software, security and related problems that impact system and availability. Required education Bachelor's Degree Required technical and professional expertise 5 to 10 years of experience in DevOps, security engineering, or related fields. Strong understanding of DevOps practices, CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions). Hands-on experience with security tools (e.g., SonarQube, Checkmarx, Aqua, Twistlock, Snyk). Familiarity with containerization and orchestration tools (Docker, Kubernetes). Solid scripting and automation skills (Python, Bash, Terraform, etc.). Experience with cloud platforms (AWS, Azure, GCP) and their security services. Knowledge of secure SDLC and threat modeling techniques. Preferred technical and professional experience Security certifications such as CISSP, CEH, OSCP, or AWS Security Specialty. Experience with policy-as-code tools like OPA/Gatekeeper or HashiCorp Sentinel. Understanding of modern application architectures (microservices, serverless). Familiarity with regulatory compliance frameworks.

The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise The resource should have prior Netscaler VPX deployment (build) experience in GSLB & internal load balancing The GSLB requirement will include integration across multiple sites (on-prem, Cloud), integration with DNS, support for DR capabilities, configuring monitors across sites etc setting up LB algorithms (static proximity), session persistence etc Troubleshooting experience with NetScalers Preferred technical and professional experience The internal load balancing setup will include binding GSLB virtual server to internal load balancing services, Support with build activities in both Equinix & Azure Support with the LLD, build information, L2/L3 routing

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks. Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll doAs a Data Engineer – Data Platform Services, responsibilities include: Data Ingestion & Processing Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake. Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark). Working with IBM CDC and Universal Data Mover to manage data replication and movement. Big Data & Data Lakehouse Management Implementing Apache Iceberg tables for efficient data storage and retrieval. Managing distributed data processing with Cloudera Data Platform (CDP). Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies. Optimization & Performance Tuning Optimizing Spark and PySpark jobs for performance and scalability. Implementing data partitioning, indexing, and caching to enhance query performance. Monitoring and troubleshooting pipeline failures and performance bottlenecks. Security & Compliance Ensuring secure data access, encryption, and masking using Thales CipherTrust. Implementing role-based access controls (RBAC) and data governance policies. Supporting metadata management and data quality initiatives. Collaboration & Automation Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions. Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus. Supporting Denodo-based data virtualization for seamless data access Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics