1617 Cloud Platforms Jobs - Page 33

CWR - Mumbai Location The Requirements Please enter the minimum criteria, skills, education, licenses etc. required to do this job Bachelor's degree in Information Technology or related field is required 10+ years of experience in solution delivery or product platform development, enterprise/solution architecture functions with at least 5+ years of experience in leadership roles in automation and RPA space. Hands on experience in Power Apps and other RPA tools. Leadership skills and experience in managing and influencing technology teams in a non-hierarchical environment Ability to lead a team of highly skilled hands-on technology professionals who are responsible for translating business needs into technology solutions Must be a problem solver with a can-do attitude, possess good leadership skills in guiding and directing teams The ideal candidate will have good interpersonal and communication skills, leadership qualities and be a team player with emphasis on collaboration and partnerships Experience working with the full Microsoft technology stack, across platforms ( Cloud, Data/Database, Power automation, UiPath), and with agile development methodologies is required Excellent organizational skills, multitasking ability and proven analytical, methodical thinking, problem solving and decision-making skills

Job Summary We are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team. The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools. ________________________________________ Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems. Understand the mathematics behind machine learning algorithms to effectively implement and optimize them. Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability. Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements. Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects. ________________________________________ Required Qualifications Mathematics & Theoretical Foundations Strong foundation in Linear Algebra (e.g., matrix operations, eigenvalues, SVD). Proficiency in Probability and Statistics (e.g., Bayesian inference, hypothesis testing, distributions). Solid understanding of Calculus (e.g., gradients, partial derivatives, optimization). Knowledge of Numerical Methods and Convex Optimization. Familiarity with Information Theory, Graph Theory, or Statistical Learning Theory is a plus. Programming & Software Skills Proficient in Python (preferred), with experience in libraries such as: o NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Experience with deep learning frameworks: o TensorFlow, PyTorch, Keras, or JAX Familiarity with ML Ops tools: o MLflow, Kubeflow, Airflow, Docker, Kubernetes Experience with cloud platforms (AWS, GCP, Azure) for model deployment. Machine Learning Expertise Hands-on experience with supervised, unsupervised, and reinforcement learning. Understanding of model evaluation metrics and validation techniques. Experience with large-scale data processing (e.g., Spark, Dask) is a plus. ________________________________________ Preferred Qualifications Masters or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Publications or contributions to open-source ML projects. Experience with LLMs, transformers, or generative models. Remote (Chennai - possible to travel Chennai for meetings)

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Role Overview: The Technical Support Engineer (TSE) is an experienced technical support professional who provides remote assistance on F5 solutions to customers and partners. They manage multiple complex cases, analyze network environments, and apply sound judgment within defined procedures to resolve issues and ensure customer satisfaction. TSE work independently, follow scheduled shifts, and use various troubleshooting tools. They maintain strong relationships with internal teams and external clients, communicate effectively, and take full ownership of cases until resolution. This role will be based in Bangalore . Sounds interestingRead on! What you will do: Demonstrates good judgement to select the best methods and techniques to provide a diverse scope of technical support (Level 1 to Level 3) to troubleshoot and resolve hardware and software issues on F5 product and services, based on data analysis of a complex set of customer specific factors. Proactively and effectively communicates status, plan-of-action, and resolution of issues based on an ISO Quality Management System defined set of procedures. Provides F5 customers and partners with a consistently high-quality support experience Participates in on-going training with F5 products and related technologies Maintains high schedule adherence (work hours and on-phone time) Effectively manages case escalations to tier 3 (Engineering Services) while maintaining customer communication, with limited assistance/mentoring from senior support personnel or management Manages multiple routine cases and prioritizes based upon customer and business needs Performs additional projects as required Responsible for upholding F5s Business Code of Ethics and promptly reporting violations of the code or other company policies. What you will bring: 5 years' experience in a professional technical support role or equivalent experience, working with relevant technologies Bachelors BA/BS, Honors, Graduate Certificate preferred. Certification to 201 level certification is expected to be achieved at NSE II level in their core module area of expertise. Level 301 certification is preferred but not expected. Excellent customer service skills together with experience supporting corporate customers and service providers in production environments. Key areas of knowledge Protocols, Linux, Networking, Popular Public Cloud Vendors, containerization, Experience with AI technology. Thorough understanding and experience with HTTP and web applications and Hands-on technical experience preferred with inter-networking/data center operations. NetworkOSI Model, Network & routing protocols, WAN operations SecuritySSL, Cryptography, Firewall, VPN, DDoS & experience in network security exposure. Familiarity with Windows, MacOS, working knowledge of UNIX/Linux operating systems and commands Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerization and orchestration technologies such as K8s and Docker. Experience with VMware, KVM or equivalent hypervisors. Experience with Salesforce service CRM system. API knowledge, Basic Programming/Scripting skills (Python, tcl, bash, JavaScript) Experience interacting with AI and prompting for questions. What Youll Get: Hybrid working mode Career growth and development opportunities Recognitions and Rewards Employee Assistance Program Competitive pay, comprehensive benefits, and cool perks Culture of Giving Back Dynamic Diversity & Inclusion Interest Groups Apply if you believe your own unique capabilities can contribute to the success of this role and our organization! #LI-BH1 The is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com ) . Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates . Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com .

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Role Overview: The Technical Support Engineer (TSE) is an experienced technical support professional who provides remote assistance on F5 solutions to customers and partners. They manage multiple complex cases, analyze network environments, and apply sound judgment within defined procedures to resolve issues and ensure customer satisfaction. TSE work independently, follow scheduled shifts, and use various troubleshooting tools. They maintain strong relationships with internal teams and external clients, communicate effectively, and take full ownership of cases until resolution. This role will be based in Bangalore . Sounds interestingRead on! What you will do: Demonstrates good judgement to select the best methods and techniques to provide a diverse scope of technical support (Level 1 to Level 3) to troubleshoot and resolve hardware and software issues on F5 product and services, based on data analysis of a complex set of customer specific factors. Proactively and effectively communicates status, plan-of-action, and resolution of issues based on an ISO Quality Management System defined set of procedures. Provides F5 customers and partners with a consistently high-quality support experience Participates in on-going training with F5 products and related technologies Maintains high schedule adherence (work hours and on-phone time) Effectively manages case escalations to tier 3 (Engineering Services) while maintaining customer communication, with limited assistance/mentoring from senior support personnel or management Manages multiple routine cases and prioritizes based upon customer and business needs Performs additional projects as required Responsible for upholding F5s Business Code of Ethics and promptly reporting violations of the code or other company policies. What you will bring: 5 years' experience in a professional technical support role or equivalent experience, working with relevant technologies Bachelors BA/BS, Honors, Graduate Certificate preferred. Certification to 201 level certification is expected to be achieved at NSE II level in their core module area of expertise. Level 301 certification is preferred but not expected. Excellent customer service skills together with experience supporting corporate customers and service providers in production environments. Key areas of knowledge Protocols, Linux, Networking, Popular Public Cloud Vendors, containerization, Experience with AI technology. Thorough understanding and experience with HTTP and web applications and Hands-on technical experience preferred with inter-networking/data center operations. NetworkOSI Model, Network & routing protocols, WAN operations SecuritySSL, Cryptography, Firewall, VPN, DDoS & experience in network security exposure. Familiarity with Windows, MacOS, working knowledge of UNIX/Linux operating systems and commands Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerization and orchestration technologies such as K8s and Docker. Experience with VMware, KVM or equivalent hypervisors. Experience with Salesforce service CRM system. API knowledge, Basic Programming/Scripting skills (Python, tcl, bash, JavaScript) Experience interacting with AI and prompting for questions. What Youll Get: Hybrid working mode Career growth and development opportunities Recognitions and Rewards Employee Assistance Program Competitive pay, comprehensive benefits, and cool perks Culture of Giving Back Dynamic Diversity & Inclusion Interest Groups Apply if you believe your own unique capabilities can contribute to the success of this role and our organization! #LI-BH1 The is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com ) . Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates . Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com .

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Role Overview: The Senior Product Support Engineer is a subject matter expert who leads the resolution of complex technical issues, ensures customer satisfaction, and drives continuous improvement in support processes. This role involves significant cross-functional collaboration and influence to enhance product support capabilities. This role will be based in Hyderabad . Sounds interestingRead on! What you will do: Lead the resolution of critical escalations and provide expert-level support to customers. Work closely with engineering and product teams to identify and resolve systemic issues. Mentor and coach junior and mid-level engineers, fostering a culture of learning and excellence. Develop and implement best practices for escalation management and problem resolution. Contribute to product improvement initiatives based on customer feedback and support trends. What you will bring: Bachelors degree in computer science, Engineering, or related field; advanced degree preferred. 8 years of experience in technical support, with a focus on escalation management. Excellent customer service skills together with experience supporting corporate customers and service providers in production environments. Key areas of knowledge Protocols, Linux, Networking, Popular Public Cloud Vendors, containerization, Experience with AI technology. Thorough understanding and experience with HTTP and web applications and Hands-on technical experience preferred with inter-networking/data center operations. NetworkOSI Model, Network & routing protocols, WAN operations SecuritySSL, Cryptography, Firewall, VPN, DDoS & experience in network security exposure. Familiarity with Windows, MacOS, working knowledge of UNIX/Linux operating systems and commands Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. In-depth knowledge of F5 products and enterprise-level support processes. Proven leadership and mentoring abilities. Strong analytical, communication, and project management skills. What Youll Get: Hybrid working mode Career growth and development opportunities Recognitions and Rewards Employee Assistance Program Competitive pay, , and cool perks Dynamic Interest Groups Apply if you believe your own unique capabilities can contribute to the success of this role and our organization! #LI-BH1 The is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com ) . Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates . Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting .

About The Role About The Role Job Title - + + Management Level : Location:Kochi, Coimbatore, Trivandrum Must have skills:Python/Go/Java Good to have skills:Docker and Kubernetes Job Summary : As a Site Reliability Engineer (SRE), youll bring together your software engineering expertise and systems knowledge to ensure our systems are scalable, reliable, and efficient. Youll be instrumental in automating operations, solving complex infrastructure challenges, and driving continuous improvement to deliver seamless and resilient services. Roles & Responsibilities Design, build, and maintain scalable infrastructure and systems. Automate operational tasks to improve efficiency and reliability. Implement application monitoring and continuous improvement of application performance and stability. Develop and implement disaster recovery and incident management strategies. Collaborate with developers to improve application architecture and deployment. Optimize system availability, latency, and performance metrics. Manage CI/CD pipelines for seamless software delivery. Perform root cause analysis and lead detailed post-mortems. Consult with software development teams to implement reliability best practices. Write and maintain infrastructure and operational documentation. Operational responsibility of a number of distributed applications. Including on-call shifts. Professional & Technical Skills: Strong experience in software engineering and systems architecture. Multiple years of experience programming in languages such as Python, Go, or Java. Expertise with cloud platforms (AWS, Azure, GCP) and tools. Hands-on experience with infrastructure as code (Terraform, Ansible, etc.). Familiarity with Linux/Unix systems and networking fundamentals. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Proven ability to monitor, debug, and optimize distributed systems. Experience managing CI/CD pipelines and automation frameworks. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills for cross-functional teamwork. Ability to analyze and improve complex systems for reliability and scalability. Self-motivated with a passion for continuous learning and improvement. Additional Information: Qualification Experience:5-8 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

About The Role The Data Architecture Specialist Join our team of data architects who design and execute industry-relevant reinventions that allow organizations to realize exceptional business value from technology . Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data Architecture | Level:Sr Manager | Location: Bangalore/Mumbai/Pune/Gurugram | Years of Exp: 15 to 21 years Explore an Exciting Career at Accenture Are you a problem solver and passionate about Tech-driven transformationDo you want to design, build and implement strategies to enhance business architecture performanceAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory team helps clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing Technology Strategy and Advisory team, you will work closely with our clients to unlock the value of data, architecture, and AI to drive business agility and transformation to a real-time enterprise. As a leading Data Architecture Consulting professional, you will work on the following areas: Business Problem Data Analysis :Identifying, assessing, and solving complex business problems using in-depth evaluation of variable factors. Technology-driven journey intersection :Helping clients design, architect and scale their journey to new technology-driven growth. Architecture Transformation :Helping solve key business problems by enabling an architecture transformation, from the current state to a to-be enterprise environment. High Performance Growth and Innovation :Assisting our clients to build the required capabilities for growth and innovation to sustain high performance. Bring your best skills forward to excel at the role: Present data strate gy and develop technology solutions and value adding propositions to drive C-suite/senior leadership level discussions Capitalize on in-depth understanding of the latest technologies such as big data, data integration, data governance, data quality, cloud platforms, data modelling tools, data warehouse and hosting environments. Lead proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Maximize subject matter expertise on data-led projects and play a key role in pitches where data-based RFP responses are discussed Demonstrate ability to work creatively and analytically in a problem-solving environment. Use knowledge of key value drivers of a business , how they impact the scope and approach of the engagement. Develop client handling skills to develop, manage and deepen relationships with key stakeholders Leverage team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Build on leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Qualification Your experience counts! MBA from a tier 1 institute Your prior experience in one or more of the following is important Assessment of Information Strategy Maturity and evaluation of new IT potential with a focus on data monetization, platforms, customer 360 view and analytics strategy. Defining data-based strategy and establishing to-be Information Architecture landscape Design of cutting-edge solutions using cloud platforms like AWS, Azure, GCP, etc. and conceptualization of Data models Establish framework for effective Data Governance and define data ownership, standards, policies, and associated processes Product/ Framework/ Tools evaluation: Collaborating with business experts for business understanding, work with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Evaluate existing products and frameworks and develop options for proposed solutions. Practical industry expertise :The areas of Financial Services, Retail, Telecommunications, Life Sciences, Mining and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications

7+ years of experience in machine learning and data science Extensive experience with Amazon SageMaker, including: Model development and testing (3+ years) Model deployment (3+ years) Model monitoring (2+ years) Key Responsibilities: Develop and test machine learning models using SageMaker, leveraging built-in algorithms and custom frameworks. Deploy models to production using SageMaker endpoints, batch transform, and multi-model endpoints. Implement continuous monitoring of deployed models using SageMaker Model Monitor. Conduct A/B testing and shadow testing for new model versions. Optimize model performance and cost-efficiency using SageMaker features like Spot Training and automated hyperparameter tuning. Collaborate with cross-functional teams to integrate ML models into production applications. Required Skills: Proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of ML workflows, from data preparation to model deployment Experience with AWS services related to ML pipelines (e.g., S3, CloudWatch, Lambda) Familiarity with SageMaker Studio and SageMaker notebooks Knowledge of best practices in MLOps and model governance Preferred Qualifications: Experience with SageMaker features such as Autopilot, Feature Store, and Pipelines Familiarity with containerization and Docker Understanding of distributed computing and large-scale data processing Experience with real-time and batch inference scenarios AWS certifications related to machine learning or data science Key Responsibilities: Design and architect end-to-end MDM solutions using the Reltio platform, focusing on banking or Customer 360 use cases. Collaborate with cross-functional teams to align MDM solutions with broader organizational objectives. Provide technical leadership in Reltio technologies, standard methodologies, and data governance practices. Develop and optimize customer relationship profiles using Reltio's multi-model architecture. Required Qualifications: Reltio certification as a Solution Architect. 8+ years of experience in large-scale program execution, with at least 3 years leading Customer 360 or similar enterprise-wide initiatives. Strong understanding of the banking domain or extensive Customer 360 experience. Expertise in data modeling, data quality management, and data governance. Proficiency in cloud platforms (AWS, Azure, Google Cloud) for hosting MDM solutions. Experience with ETL concepts, data integration frameworks, and workflow automation. Preferred Skills: Familiarity with other MDM platforms. Understanding of regulatory requirements in the banking sector. Key Competencies: Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Proven track record in delivering complex MDM projects. Ability to translate business requirements into technical solutions.

About The Role Project Role : Technology Support Engineer Project Role Description : Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution. Must have skills : Cloud Resilience Quality Engineering Good to have skills : Cloud Data ArchitectureMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationBachelors degree in computer science or a related discipline.7-8 years of experience working on private and public cloud platforms.Strong knowledge of cloud concepts, tools, and technologies.Proficient in designing and architecting, resilient, and highly available cloud solutions.Proven expertise in building automated and orchestrated workflows.Experience in developing & maintaining business continuity plans.Experience in audit and compliance of IT services and processes.Ability to work independently and as part of a team.Learn and adapt to the fast-changing technological landscape.Excellent oral and written communication skills. Qualification 15 years full time education

Hiring React.js Developer (4–7 yrs) for UI development. Must have strong React, JavaScript, Redux skills. 1-year contract. Hybrid. Immediate joiners preferred. Required Candidate profile Experienced front-end developer with 4–7 years in React.js, JavaScript, and Redux. Should have strong UI development skills, API integration experience, and a good understanding of modern front-end.

Skills Required: Proven experience as aNode.jsDeveloper, with a strong portfolio of projects that showcase your skills. Proficiency inNode.jsand its ecosystem, including frameworks such as Express.js. Solid understanding of asynchronous programming and event-driven architecture. Experience with RESTful APIs, web services, and microservices architecture. Familiarity with front-end technologies (HTML, CSS, JavaScript) and their integration with back-end services. Knowledge of version control systems, preferably Git. Strong problem-solving and debugging skills. Experience with relational databases (e.g., MySQL, PostgreSQL) and/or NoSQL databases (e.g., MongoDB) is a plus. Understanding of containerization and deployment using tools like Docker. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is desirable. Qualification: Candidates must have a BE BTech MCA BSc degree or equivalent

As a member of the Data Science practice, you will be overseeing advanced AI ML engagements tailored for the corporate banking sector. This includes leading the discovery, build, and maintenance phases of our projects, ensuring high-quality deliverables and client satisfaction. Your core responsibility will be to manage project timelines, resources, and communications while providing technical guidance to the team. You will work closely with data scientists, data engineers, and clients to understand their requirements, translate them into technical tasks, and develop robust solutions Desired Skills and experience 8+ years of relevant experience in: Experience in data science project management and technical leadership within the financial industry. Strong knowledge of data engineering, analytics, and AI/ML techniques. Proficiency in cloud platforms, particularly Azure, Snowflake, or Databricks. Strong understanding of data warehousing concepts and best practices. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and oral, with a business and technical aptitude. Proven ability to manage multiple projects simultaneously and deliver high-quality results. Additionally, desired skills: Familiarity with PowerBI and other visualization tools. Experience with agile project management methodologies. Knowledge of regulatory and compliance requirements in the financial industry Key Responsibilities Define project scope, goals, and deliverables. Develop detailed project plans, timelines, and resource allocations. Provide technical guidance and mentorship to the project team, ensuring best practices in data engineering, analytics, and AI/ML model development. Serve as the primary contact for client communications, ensuring clear and effective information exchange. Conduct QA sessions with senior and execution-level bankers. Ensure quality control and standardization of deliverables. Perform data discovery feasibility, establish data lineage for audibility and implement data quality checks. Establish clear milestones and governance plans, track project progress, and ensure adherence to deadlines. Oversee the setup of Azure SQL databases, Azure DevOps environments, and PowerBI servers. Monitor and optimize data pipelines, ensuring data integrity and efficient processing. Guide the development of PowerBI dashboards, meeting client requirements and providing actionable insights. Incorporate feedback from bankers and continuously improve models, dashboards, and processes. Maintain project documentation, including technical specifications, user guides, and project progress reports.

Job description We are looking for an experienced Java and Spring Boot Developer to join our team. In this role, you will develop and maintain robust and scalable web services. You will work closely with our front-end developers and architects to deliver high-quality solutions. You will be expected to have strong expertise in Java and Spring Boot with experience building enterprise-grade applications, ensuring best practices in development. Key Responsibilities Develop high-performance, scalable and maintainable web services using Java and Sprint Boot. Write clean, maintainable and well-documented code, adhering to best coding standards and practices. Work closely with front-end engineers and QA to develop and test features. Develop unit tests and troubleshoot and debug complex production issues. Roles and Responsibilities Experience 5+ years of experience in Java development with strong expertise in Spring (and Sprint Boot) framework. Hands-on experience with RESTful API design Skills Advanced knowledge of Java, Spring Boot and related technologies. Good understanding of SDLC, Agile methodologies. Excellent problem-solving and debugging skills. Strong communication skills, both verbal and written. Nice to haves Familiarity with frontend technologies like React is a plus. Experience with security practices like OAuth, JWT and API security.we Experience with cloud platforms like AWS a plus. Knowledge of CI/CD tools like Jenkins, AWS

Role & responsibilities Conduct expert technical lectures and hands-on sessions at NextGen campuses across India. Support in syllabus design, content development, and learning resource creation for multiple computer science domains. Manage and update Learning Management System (LMS) content regularly. Collaborate on intervention planning, student learning tracking, and outcome improvement. Participate in faculty training, hackathons, bootcamps, and review sessions. Stay up-to-date with new-age technologies such as AI/ML, Cloud, Cybersecurity, LLMs, and Full Stack Development. Preferred candidate profile Strong command over at least two of the following: AI/ML, Data Science, Cloud Computing, Cybersecurity, LLMs, or Full Stack Development. Hands-on experience with tools like Python, Git, Linux, Jupyter, cloud platforms (AWS/GCP), and version-controlled content. Excellent communication and presentation skills. Prior experience with LMS platforms and outcome tracking tools will be an advantage. Passionate about teaching and mentoring students in next-gen technologies.

Key Skills : Python, SQL, PySpark, Databricks, AWS, Data Pipeline, Data Integration, Airflow, Delta Lake, Redshift, S3, Data Security, Cloud Platforms, Life Sciences. Roles & Responsibilities : Develop and maintain robust, scalable data pipelines for ingesting, transforming, and optimizing large datasets from diverse sources. Integrate multi-source data into performant, query-optimized formats such as Delta Lake, Redshift, and S3. Tune data processing jobs and storage layers to ensure cost efficiency and high throughput. Automate data workflows using orchestration tools like Airflow and Databricks APIs for ingestion, transformation, and reporting. Implement data validation and quality checks to ensure reliable and accurate data. Manage and optimize AWS and Databricks infrastructure to support scalable data operations. Lead cloud platform migrations and upgrades, transitioning legacy systems to modern, cloud-native solutions. Enforce security best practices, ensuring compliance with regulatory standards such as IAM and data encryption. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders to deliver data solutions. Experience Requirement : 4-6 years of hands-on experience in data engineering with expertise in Python, SQL, PySpark, Databricks, and AWS. Strong background in designing and building data pipelines, and optimizing data storage and processing. Proficiency in using cloud services such as AWS (S3, Redshift, Lambda) for building scalable data solutions. Hands-on experience with containerized environments and orchestration tools like Airflow for automating data workflows. Expertise in data migration strategies and transitioning legacy data systems to modern cloud platforms. Experience with performance tuning, cost optimization, and lifecycle management of cloud data solutions. Familiarity with regulatory compliance (GDPR, HIPAA) and security practices (IAM, encryption). Experience in the Life Sciences or Pharma domain is highly preferred, with an understanding of industry-specific data requirements. Strong problem-solving abilities with a focus on delivering high-quality data solutions that meet business needs. Education : Any Graduation.

Key Skills : Python, SQL, PySpark, Databricks, AWS, Data Pipeline, Data Governance, Data Security, Leadership, Cloud Platforms, Life Sciences, Migration, Airflow. Roles & Responsibilities : Lead a team of data engineers and developers, defining technical strategy, best practices, and architecture for data platforms. Architect, develop, and manage scalable, secure, and high-performing data solutions on AWS and Databricks. Oversee the design and development of robust data pipelines for ingestion, transformation, and storage of large-scale datasets. Enforce data validation, lineage, and quality checks across the data lifecycle, defining standards for metadata, cataloging, and governance. Design automated workflows using Airflow, Databricks Jobs/APIs, and other orchestration tools for end-to-end data operations. Implement performance tuning strategies, cost optimization best practices, and efficient cluster configurations on AWS/Databricks. Define and enforce data security standards, IAM policies, and ensure compliance with industry-specific regulatory frameworks. Work closely with business users, analysts, and data scientists to translate requirements into scalable technical solutions. Drive strategic data migrations from on-prem/legacy systems to cloud-native platforms with minimal risk and downtime. Mentor junior engineers, contribute to talent development, and ensure continuous learning within the team. Experience Requirement : 6-9 years of hands-on experience in data engineering with expertise in Python, SQL, PySpark, Databricks, and AWS. Strong leadership experience in data engineering or data architecture roles, with a proven track record in leading teams and delivering large-scale data solutions. Expertise in designing and developing data pipelines, optimizing performance, and ensuring data quality. Solid experience with cloud platforms (AWS, Databricks), data governance, and security best practices. Experience in data migration strategies and leading transitions from on-premises to cloud-based environments. Experience in the Life Sciences or Pharma domain is highly preferred, with a deep understanding of industry-specific data requirements. Strong communication and interpersonal skills with the ability to collaborate across teams and engage stakeholders. Education : Any Graduation.

You are an experienced SAP BASIS professional responsible for managing and optimizing SAP ECC 6.0 and S/4HANA environments on a Private Cloud infrastructure. Your role involves system administration, performance tuning, upgrades, and ensuring high availability of SAP applications. You must have expertise in SAP BASIS administration and supported cloud technologies. As the SAP BASIS Administrator, your key responsibilities include: - Installing, configuring, and maintaining SAP ECC 6.0 and related SAP landscapes in a Private Cloud environment. - Performing system upgrades, migrations, and patching activities. - Managing system refreshes, client copies, and database administration. - Performing transport management and landscape synchronization across DEV, QA, and PROD environments. Additionally, you will be involved in Cloud & Infrastructure Management by: - Managing SAP on Private Cloud platforms in DC environment and DR setup. - Monitoring and optimizing cloud resources for cost efficiency and performance. - Maintaining backup, disaster recovery, and high-availability solutions for SAP workloads. - Collaborating with cloud service providers to troubleshoot and resolve infrastructure-related issues. You will also focus on Performance Tuning & Security by: - Conducting system health checks, tuning, and optimization for SAP applications and databases. - Monitoring SAP system logs, work processes, and background jobs to ensure system stability. - Implementing and enforcing SAP security best practices, including user management, role assignments, and authorization controls. - Performing vulnerability assessments and compliance checks to align with ITGC Audit and other industry regulations. If you are qualified and interested in this role, please forward your updated CV to ssi.management@gmail.com.,

The IWPT Data Platform team at Morningstar is looking for a seasoned Senior Software Engineer to take charge of developing and maintaining Datafeed applications using Node.js and ASP.NET. These applications play a crucial role in delivering precise and timely data to clients, ensuring the efficiency of their financial systems. As a Senior Software Engineer, your responsibilities will include overseeing the complete development, reliability, and performance of our Datafeed applications. You will lead projects, guide junior engineers, and work closely with clients and internal teams to enhance functionality, troubleshoot issues, and drive continuous improvements. Your key responsibilities will include leading the development and upkeep of Datafeed applications using JavaScript (Node.js) or C# (ASP.NET), collaborating with clients and internal teams to resolve complex issues related to Datafeed processing, data accuracy, and application functionality, designing and implementing enhancements to boost the reliability, performance, and usability of applications, mentoring junior engineers to enhance their development skills, and documenting development processes and resolutions to promote knowledge sharing and continuous improvement. To be successful in this role, you should possess a minimum of 5 years of experience in software development or a related field, an advanced proficiency in Node.js or ASP.NET, a strong understanding of application development and architecture, extensive knowledge of data processing and manipulation techniques, familiarity with relational and non-relational databases and queries, expertise in troubleshooting and debugging techniques, excellent communication skills, strong problem-solving and analytical skills, the ability to work independently and lead a team, a customer-focused mindset with a commitment to delivering high-quality solutions, a bachelor's degree in computer science - engineering, or a related field, and experience in developing and supporting Datafeed applications or similar financial systems is a plus. Preferred skills include experience with cloud platforms such as AWS or Azure, knowledge of financial markets and Datafeeds, and experience with DevOps practices and tools. Morningstar is an equal opportunity employer offering a hybrid work environment that allows for remote work and in-person collaboration on a regular basis. Various benefits are also available to facilitate flexibility as needs evolve, ensuring meaningful engagement with global colleagues. Upon acceptance of an offer, disclosure of personal and related investments to the Compliance team is required for review to ensure compliance with Code of Ethics requirements. Any identified conflicts of interest will necessitate the immediate liquidation of holdings. Additionally, depending on your department and location of work, certain employee accounts must be held with an approved broker. This job offers a hybrid work environment, allowing you to work remotely and collaborate in-person each week. Although some positions are fully remote, the company believes that regular in-person collaboration, typically three days each week, enhances productivity. Multiple benefits are available to support flexibility as circumstances change, ensuring meaningful interaction with global colleagues.,

As the Senior Analyst, Business Intelligence at LSEG, you will play a crucial role in driving data-informed decision-making and continuous improvement within Colleague Services. Your primary focus will be on designing, maintaining, and enhancing dashboards that visualize key performance indicators by utilizing data from ServiceNow and other platforms to generate actionable insights. Your expertise in data analysis and reporting will be instrumental in identifying opportunities for improvement across corporate functions and providing valuable recommendations to enhance efficiency. Your responsibilities will include designing and maintaining Power BI dashboards to deliver critical insights into Colleague Services performance metrics such as ticket volumes, MTTR, and CSAT scores. You will analyze trends in ticket volumes and performance data to provide actionable insights to leadership and collaborate with key partners to align on performance improvement strategies. Additionally, you will develop a dashboard for the Digital Workplace to monitor content management and user journeys, ensuring ongoing updates based on evolving business needs. Your role will also involve ensuring compliance with the organization's Enterprise Risk Management Framework and corporate governance standards, as well as leading and supporting ServiceNow development projects to meet timelines and deliverables. Continuous learning and development will be encouraged as you stay up-to-date with industry trends, new technologies, and analytics methodologies relevant to the role. The ideal candidate for this position will have a Bachelor's degree in a related field such as Business Analytics or Data Science, along with 2-3 years of experience in BI development. Strong project management skills, effective communication abilities, and experience with ESM systems like ServiceNow are desirable. Proficiency in data visualization, data warehousing, and programming skills in SQL will be advantageous, as well as familiarity with cloud platforms such as AWS and Azure. Your eagerness to learn, adapt, and collaborate within cross-functional teams will be essential to meet evolving business needs. Joining LSEG means being part of a dynamic organization with a global presence across 65 countries. You will have the opportunity to contribute to driving financial stability, empowering economies, and supporting sustainable growth. The values of Integrity, Partnership, Excellence, and Change will guide your decision-making and actions, fostering a collaborative and creative culture where new ideas are encouraged. LSEG offers a range of benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives, while valuing individuality and diversity in the workforce.,

As an AI Decision Science Consultant at Accenture Strategy & Consulting, specifically in the Global Network - Data & AI practice under the CMT Software & Platforms team, you will play a pivotal role in helping clients leverage analytics to achieve high performance and make better decisions. In collaboration with onsite counterparts, you will drive the development and delivery of Data & AI solutions for SaaS and PaaS clients. You will have the opportunity to work with a diverse team of talented professionals experienced in leading statistical tools and methods. From gathering business requirements to developing and testing AI algorithms tailored to address specific business challenges, you will be involved in the end-to-end process of delivering AI solutions. Your role will also include monitoring project progress, managing risks, and fostering positive client relationships by ensuring alignment between project deliverables and client expectations. In this role, you will mentor and guide a team of AI professionals, promoting a culture of collaboration, innovation, and excellence. Continuous learning and professional development will be supported by Accenture, enabling you to enhance your skills and certifications in SaaS & PaaS technologies. As part of the Data & AI practice, you will be at the forefront of leveraging AI technologies such as Generative AI frameworks and statistical models to drive business performance improvement initiatives. To excel in this role, you should possess a bachelor's or master's degree in computer science, engineering, data science, or a related field. With at least 5 years of experience in working on AI projects, you should have hands-on exposure to AI technologies, statistical packages, and machine learning techniques. Proficiency in programming languages such as R, Python, Java, SQL, and experience in working with cloud platforms like AWS, Azure, or Google Cloud will be crucial. Your strong analytical, problem-solving, and project management skills will be essential in navigating complex issues and delivering successful outcomes. Excellent communication and interpersonal skills will enable you to engage effectively with clients and internal stakeholders, while your ability to work with large datasets and present insights will drive informed decision-making. Join us at Accenture Strategy & Consulting and be part of a dynamic team dedicated to helping clients unlock new business opportunities through Data & AI solutions.,

About the Role: We are seeking an IT Solution Consultant with expertise in insurance and reinsurance technology to act as the main point of contact for clients, providing consultation, implementation, and support for digital insurance solutions. The role requires a mix of insurance domain expertise, technology implementation skills, and client engagement experience. Key Responsibilities: Act as the primary POC for clients, addressing all technology-related queries for insurance solutions. Lead digital transformation projects, including API integrations, SaaS platforms, and process automation. Work closely with underwriters, claims teams, brokers, and product managers to optimize workflows. Drive pre-sales, product demonstrations, and client solutioning for InsurTech products. Collaborate with internal teams to develop customized insurance technology solutions. Ensure compliance with insurance and reinsurance regulatory standards (Lloyds, Solvency II, IFRS 17, etc.) Required Skills & Experience: 5+ years of experience in insurance/reinsurance technology consulting. Expertise in policy administration, underwriting, and claims automation. Strong understanding of API integrations, cloud platforms (AWS, Azure), and SaaS-based InsurTech solutions. Experience with Guidewire, DuckCreek, SICS, TCS BaNCS, or similar platforms. Hands-on with SQL, Power BI, Looker, or other BI tools for data analysis. Excellent communication & stakeholder management skills. Nice to Have: Experience in AI/ML-based insurance automation. Knowledge of RPA tools for process optimization. Exposure to enterprise architecture and system integration.,

Job Overview Kale Logistics, a leading software SaaS product-based firm, is seeking an experienced and results-oriented Technology Architect specializing in technical architecture to lead our technical engineering practice. This pivotal role involves overseeing and optimizing the technical architecture of our software products, driving innovation, and ensuring exceptional user experiences. As a key leader in our organization, the Technology Architect will play a crucial role in enhancing the scalability, reliability, and efficiency of our solutions. Key Responsibilities Technical Engineering Leadership : Lead and manage the technical engineering team to ensure high-quality delivery and continuous improvement in product architecture. Technical Architecture Design : Design and implement scalable, high-performing technical architectures to support SaaS products and services. Optimization and Tuning : Collaborate with development teams to optimize code, algorithms, and infrastructure for maximum performance and efficiency. Best Practices Implementation : Establish and enforce technical architecture best practices and standards across the organization. Troubleshooting and Issue Resolution : Investigate and resolve complex technical issues, providing technical expertise and guidance to teams. Mentorship and Training : Mentor junior engineers and provide training on technical architecture methodologies and tools. Collaboration : Work closely with cross-functional teams, including developers, testers, product managers, and operations teams, to ensure alignment with technical goals. Technical Monitoring and Reporting : Implement monitoring tools and processes to track system performance and generate reports for stakeholders. Innovation and Research : Stay updated with the latest trends and technologies in technical architecture and apply them to drive innovation. Must-Have Bachelor's or master's degree in computer science, Engineering, or related field. Extensive experience (8+ years) in technical architecture, including hands-on experience with architecture design, optimization, and implementation. Strong understanding of software architecture, design patterns, and distributed systems. Proficiency in programming languages, .net core and angular and databases (e.g., SQL, NoSQL). Proven ability to lead and mentor teams, as well as manage complex projects. Good-to-Have Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes). Familiarity with microservices architecture and modern development practices (e.g., CI/CD, DevOps). Certifications in technical architecture or related fields. Strong problem-solving skills and ability to work under pressure. Excellent communication and collaboration skills. Why Join Kale Logistics Opportunity to lead and shape the technical engineering practice. Collaborative and innovative work environment. Competitive salary and benefits package. Opportunities for professional growth and development. If you are a passionate and experienced Technology Architect specializing in technical architecture and are ready to lead and drive excellence at Kale Logistics, we would love to hear from you. Apply today to be part of our dynamic team and contribute to our mission of delivering world-class SaaS solutions. (ref:hirist.tech),

As a Scala Developer at our company located in Pune, you will be responsible for developing, testing, and maintaining scalable, robust, and high-performance applications using Scala. You will collaborate with product managers, architects, and other developers to define software requirements and deliverables. Your role will involve writing clean, maintainable, and efficient code following best practices, as well as integrating third-party APIs and services as needed. It will be your responsibility to optimize application performance and ensure scalability. To excel in this role, you should possess a strong proficiency in the Scala programming language with 4 to 10 years of experience. Familiarity with functional programming concepts and patterns is essential. You should also have proficiency in building RESTful APIs and web services, along with knowledge of database technologies such as PostgreSQL, MongoDB, or Cassandra. Experience with distributed computing frameworks like Apache Spark and Kafka will be beneficial. An understanding of software development principles including Agile, TDD, and CI/CD is required for this position. Additionally, familiarity with cloud platforms like AWS, Azure, or Google Cloud will be advantageous. If you are passionate about developing high-quality applications using Scala and possess the required skills and experience, we would like to hear from you. Join our team and contribute to building innovative solutions that drive our business forward.,

Job Title: Data Architect Experience : 3 to 4 Location : Vadodara , Gujarat Contact : 9845135287 Job Summary We are seeking a highly skilled and experienced Data Architect to join our team. As a Data Architect, you will play a crucial role in assessing the current state of our data landscape and working closely with the Head of Data to develop a comprehensive data strategy that aligns with our organisational goals. Your primary responsibility will be to understand and map our current data environments and then help develop a detailed roadmap that will deliver a data estate that enables our business to deliver on its core objectives. Main Duties & Responsibilities The role core duties include but are not limited to: Assess the current state of our data infrastructure, including data sources, storage systems, and data processing pipelines. Collaborate with the Data Ops Director to define and refine the data strategy, taking into account business requirements, scalability, and performance. Design and develop a cloud-based data architecture, leveraging Azure technologies such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure Data Factory. Define data integration and ingestion strategies to ensure smooth and efficient data flow from various sources into the data lake and warehouse. Develop data modelling and schema design to support efficient data storage, retrieval, and analysis. Implement data governance processes and policies to ensure data quality, security, and compliance. Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand data requirements and provide architectural guidance. Conduct performance tuning and optimization of the data infrastructure to meet business and analytical needs. Stay updated with the latest trends and advancements in data management, cloud technologies, and industry best practices. Provide technical leadership and mentorship to junior team members. Key Skills Proven work experience as a Data Architect or in a similar role, with a focus on designing and implementing cloud-based data solutions using Azure technology. Strong knowledge of data architecture principles, data modelling techniques, and database design concepts. Experience with cloud platforms, particularly Azure, and a solid understanding of their data-related services and tools. Proficiency in SQL and one or more programming languages commonly used for data processing and analysis (e.g., Python, R, Scala). Familiarity with data integration techniques, ETL/ELT processes, and data pipeline frameworks. Knowledge of data governance, data security, and compliance practices. Strong analytical and problem-solving skills, with the ability to translate business requirements into scalable and efficient data solutions. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Ability to adapt to a fast-paced and dynamic work environment and manage multiple priorities simultaneously. Working relationships Liaison with stakeholders at all levels of the organisation Communication: Communicate with leadership and colleagues in relation to all business activities Highly articulate and able to explain complex concepts in bite size chunks Strong ability to provide clear written reporting and analysis Personal Qualities Ability to work to deadlines Commercially mindful and able to deliver solution to maximise value Good time management skills and ability to work to deadlines Strong analytical skills Accurate with excellent attention to detail Personal strength and resilience Adaptable and embraces change Reliable, conscientious and hardworking Approachable and professional Show willingness to learn however recognise limits of ability and when to seek advice Knowledge / Key Skills: Essential Desirable Experience of Azure Development and design principals Enterprise level Data warehousing design and implementation Architecture Principles Proficiency in SQL development. Familiarity with data integration techniques, ETL/ELT processes, and data pipeline frameworks. Knowledge of data governance, data security, and compliance practices. Strong experience mapping existing data landscape and developing roadmap to deliver business requirements. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Ability to adapt to a fast-paced and dynamic work environment and manage multiple priorities simultaneously. Knowledge of Enterprise Architecture frameworks (Eg. TOGAF) Programming languages such as R, Python, Scala etc Job Type: Full-time Experience: total work: 1 year (Preferred) Work Location: In person,

You should have experience in understanding and translating data, analytic requirements, and functional needs into technical requirements while collaborating with global customers. Your responsibilities will include designing cloud-native data architectures to support scalable, real-time, and batch processing. You will be required to build and maintain data pipelines for large-scale data management in alignment with data strategy and processing standards. Additionally, you will define strategies for data modeling, data integration, and metadata management. Your role will also involve having strong experience in database, data warehouse, and data lake design and architecture. You should be proficient in leveraging cloud platforms such as AWS, Azure, or GCP for data storage, compute, and analytics services. Experience in database programming using various SQL flavors is essential. Moreover, you will need to implement data governance frameworks encompassing data quality, lineage, and cataloging. Collaboration with cross-functional teams, including business analysts, data engineers, and DevOps teams, will be a key aspect of this role. Familiarity with the Big Data ecosystem, whether on-premises (Hortonworks/MapR) or in the Cloud, is required. You should be able to evaluate emerging cloud technologies and suggest enhancements to the data architecture. Proficiency in any orchestration tool like Airflow or Oozie for scheduling pipelines is preferred. Hands-on experience in utilizing tools such as Spark Streaming, Kafka, Databricks, and Snowflake is necessary. You should be adept at working in an Agile/Scrum development process and optimizing data systems for cost efficiency, performance, and scalability.,