272 S3 Jobs - Page 5

Summary : Engineering is at the heart of everything we do at Tinvio, translating ideas into products that touch the lives of our customers. As a Senior Software Engineer, you will collaborate with a cross- functional team of talented designers, product managers, and engineers to solve complex problems in an open and fast- paced environment with very flat structures where everyone has a say. In this role, you will carve out an unmatched user experience for our customers by implementing robust frontend technology solutions around order management, account management, credit, and payment domains that fuel our core business. In addition, you will have the opportunity to work on the complete stack using technologies like ReactJs, NodeJs, JavaScript libraries, Design libraries, Bable, Webpack, Redux, Restful APIs, CloudFront, S3 and, Firebase in the cloud environment. Join us in building the next- gen B2B transactions platform for merchants and suppliers across the region. Responsibilities : - Design, build, and maintain a high- performance, high- availability, and fraud- tolerant technology platform for B2B transactions with minimal guidance - Create pixel perfect and trustworthy frontend experiences that will be functional, reliable, and delightfully easy to use for thousands of users across the region - Implement API integrations that are stable, backward compatible, and reliable, and build maintainable UI components that are scalable and extensible - Contribute cross- functionally in the software development cycle, by evaluating UX, collaborating with back- end engineers, or participating in technical architecture decisions - Effectively communicate your technical solutions and product ideas within the engineering teams, and the broader product organization - Articulate a long- term technical direction for maintaining and scaling our web applications, and propose technology choices with research and experimentation Requirement : - Bachelor's degree in computer science / information technology / similar field - Strong problem- solving skills and experience in application debugging - Minimum 7+ years of professional experience in front- end engineering - Must be able to develop high- quality deliverables, scalable applications within defined timelines - Hands- on working experience using JavaScript, CSS & HTML. - Hands- on working experience in frontend tools including ReactJS, Babel, NPM, Webpack, Redux - Familiarity with RESTful APIs - Knowledge of modern user authorization mechanisms, such as JSON Web Token (JWT) - Knowledge of performance testing frameworks including Mocha and Jest - Experience in browser- based debugging and software performance testing Benefits : Join our team of Generous perks, awesome open office (or remote) culture, fair compensation to help you work better, and equity for long- term financial gains

We are staffing small, self-contained development teams with people who love solving problems, building high quality products and services. We use a wide range of technologies and are building up a next generation microservices platform that can make our learning tools and content available to all our customers. If you want to make a difference in the lives of students and teachers and understand what it takes to deliver high quality software, we would love to talk to you about this opportunity. Technology Stack You'll work with technologies such as Java, Spring Boot, Kafka, Aurora, Mesos, Jenkins etc. This will be a hands-on coding role working as part of a cross-functional team alongside other developers, designers and quality engineers, within an agile development environment. Were working on the development of our next generation learning platform and solutions utilizing the latest in server and web technologies. Responsibilities: Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) on the team. Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Drive the design, prototype, implementation, and scale of cloud data platforms to tackle business needs. Identify ways to improve data reliability, efficiency, and quality. Plan and perform development tasks from design specifications. Provide accurate time estimates for development tasks. Construct and verify (unit test) software components to meet design specifications. Perform quality assurance functions by collaborating with the cross-team members to identify and resolve software defects. Provide mentoring on software design, construction, development methodologies, and best practices. Participate in production support and on-call rotation for the services owned by the team. Mentors less experienced engineers in understanding the big picture of company objectives, constraints, inter-team dependencies, etc. Participate in creating standards and ensuring team members adhere to standards, such as security patterns, logging patterns, etc. Collaborate with project architects and cross-functional team members/vendors in different geographical locations and assist team members to prove the validity of new software technologies. Promote AGILE processes among development and the business, including facilitation of scrums. Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate. Work closely with your product and design teammates for improved stability, reliability, and quality. Perform other duties as assigned to ensure the success of the team and the entire organization. Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt your work. Promote a positive engineering culture through teamwork, engagement, and empowerment. Function as the tech lead for various features and initiatives on the team. Build and maintain CI/CD pipelines for services owned by team by following secure development practices. Skills & Experience: 5 to 8 years' experience in a relevant software development role Excellent object-oriented design & programming skills, including the application of design patterns and avoidance of anti-patterns. Strong Cloud platform skills: AWS Lambda, Terraform, SNS, SQS, RDS, Kinesis, DynamoDB etc. Experience building large-scale, enterprise applications with ReactJS/AngularJS. Proficient with front-end technologies, such as HTML, CSS, JavaScript preferred. Experience working in a collaborative team of application developers and source code repositories. Deep knowledge of more than one programming language like Node.js/Java. Demonstrable knowledge of AWS and Data Platform experience: Lambda, Dynamodb, RDS, S3, Kinesis, Snowflake. Demonstrated ability to follow through with all tasks, promises and commitments. Ability to communicate and work effectively within priorities. Ability to advocate ideas and to objectively participate in design critiques. Ability to work under tight timelines in a fast-paced environment. Advanced understanding of software design concepts. Understanding software development methodologies and principles. Ability to solve large scale complex problems. Ability to architect, design, implement, and maintain large scale systems. Strong technical leadership and mentorship ability. Working experience of modern Agile software development methodologies (i.e. Kanban, Scrum, Test Driven Development)

Strong experience in Python, MongoDB. Hands on experience developing code in Python, and MongoDB. Have experience in Identity Management, API Management, Security, Tokenization and Microservices domains. Required Candidate profile Django, Shell Scripting, Python, Maven, ReactJS, Redux, Hooks, Storybook, Jquery, Typescript, HTML5, CSS3. Docker, AWS (EC2, S3, RDB, LB), Python, AWS Lambda Function, Serverless Architecture

Manager Information Systems What you will do In this vital role you will responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Lead the design, configure and deployment of the validation systems (such as Veeva Validation Management, ALM, and KNEAT) ensuring scalability, maintainability, and performance optimization. Implement standard methodologies, conduct code review and provide technical guidance, mentorship to junior developers. Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline Collaborate closely with business collaborators to discuss requirements, ensuring alignment between technical capabilities and business objectives, while effectively communicating any technical limitations or constraints. Contribute to both front-end and back-end development using cloud technology. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Ensure all documents are compliant with 21 CFR Part 11, Annex 11, and other relevant regulations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements. Work with Product Owners, Service Owners and/or delivery teams to ensure that delivery matches commitments, acting as a partner concern point and facilitating communication when service commitments are not met. Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time. Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 4 to 6 years of related field experience OR Bachelors degree and 6 to 8 years of related field experience OR Diploma and 10 to 12 years of related field experience Solid technical background, including understanding software development processes, databases, and cloud-based systems. Experience configuring the SaaS systems such as Veeva or ALM. Experience with Document management system, Service now suite, ALM, JIRA, Veeva Platform, GenAI. Agile/Scrum experience with demonstrated success managing product backlogs and delivering iterative product improvements. Preferred Qualifications: Understanding of Veeva Quality Vault/ALM/KNEAT. Curiosity of modern technology domain and learning agility Experience with the following technologies Veeva Vault, MuleSoft, AWS (Amazon Web Services) Services (DynamoDB, EC2, S3, etc.), Application Programming Interface (API) integration and Structured Query Language (SQL) will be a big plus. Excellent communication skills, with the ability to convey complex technical concepts. As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

We are seeking a highly skilled Senior Infrastructure Engineer with expertise in Windows and Linux operating systems, Azure and AWS cloud platforms, and enterprise-grade infrastructure solutions. The ideal candidate will have a proven track record of designing, implementing, and managing complex infrastructure in a dynamic environment. Key Responsibilities: 1. Systems and Infrastructure Management: Design, deploy, and maintain Windows and Linux-based systems in both on-premises and cloud environments. Ensuring the reliability, security, and performance of the systems. Administer core services such as Active Directory, DHCP, DNS, and Group Policy. 2. Cloud Infrastructure: Architect, implement, and manage Azure infrastructure components, including virtual machines, virtual networks, storage accounts, Azure AD(Entra ID), and enterprise app registrations. Manage AWS cloud resources, including EC2 instances, S3 buckets, RDS databases, and IAM roles. 3. Virtualization and Storage Solutions: Utilize VMware and Windows hypervisor technologies to design, deploy, and manage virtualized environments for performance and scalability. Design and maintain enterprise backup and storage solutions, including Rubrik and PureStorage. 4. Automation and Orchestration: Automate infrastructure provisioning, configuration, and deployment using tools like Terraform, Ansible, PowerShell, and Azure Automation. 5. Monitoring and Performance Optimization: Monitor system performance using tools such as DataDog and LogicMonitor. Implement performance tuning measures to enhance infrastructure reliability and efficiency. 6. Security and Compliance: Implement security best practices, access controls, and compliance measures in line with SOC2 and SOX standards. 7. Collaboration and Innovation: Work with cross-functional teams to design scalable, secure, and highly available infrastructure solutions. Share expertise and mentor team members through documentation and training sessions. 8. Disaster Recovery: Develop and maintain backup strategies and disaster recovery plans for critical systems and data. Continuous Learning: Stay current with emerging technologies and industry best practices related to infrastructure engineering, cloud computing, and virtualization. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. 5+ years of experience in infrastructure engineering with a focus on Windows and Linux operating systems and cloud platforms (Azure and AWS). Strong proficiency in Windows server administration, Linux system administration, and performance tuning. Hands-on experience with Azure services such as VMs, Azure Networking, Azure Storage, and enterprise app registrations. Familiarity with AWS services and tools, including EC2, S3, RDS, VPC, and CloudFormation. Expertise in VMware vSphere, ESXi, and vCenter. Experience with scripting and automation tools like PowerShell, Python, and Bash. Excellent communication and collaboration skills. Strong problem-solving abilities and adaptability in a fast-paced environment. Certifications (Preferred): Microsoft Certified: Azure Administrator Associate (AZ-104) or equivalent. AWS Certified Solutions Architect - Associate or equivalent. VMware Certified Professional (VCP).

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India (Hyderabad, Pune & Bangalore). Location: Gurgaon/Pune/Hyderabad/Bengaluru/Chennai Work Mode: Hybrid (2-3 days office in a week) Job Description: 5-14 Years of in Big Data & Data related technology experience Expert level understanding of distributed computing principles Expert level knowledge and experience in Apache Spark Hands on programming with Python Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming Good understanding of Big Data querying tools, such as Hive, and Impala Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files Good understanding of SQL queries, joins, stored procedures, relational schemas Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Knowledge of ETL techniques and frameworks Performance tuning of Spark Jobs Experience with native Cloud data services AWS Ability to lead a team efficiently Experience with designing and implementing Big data solutions Practitioner of AGILE methodology WE OFFER Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: • Health benefits, Medical Benefits• Retirement benefits• Paid time off• Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc

Associate IS Bus Sys Analyst What you will do In this vital role you will we are seeking a highly skilled Associate IS Bus Sys Analyst to join our team. You will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Maintain existing code and configurationSupport and maintain SaaS applications Development & DeploymentDevelop, test, and deploy code based on designs created with the guidance of senior team members. Implement solutions following standard methodologies for code structure and efficiency. DocumentationGenerate clear and concise code documentation for new and existing features to ensure smooth handovers and easy future reference. Collaborative DesignWork closely with team members and collaborators to understand project requirements and translate them into functional technical designs. Code Reviews & Quality AssuranceParticipate in peer code reviews, providing feedback on adherence to standard methodologies, and ensuring high code quality and maintainability. Testing & DebuggingAssist in writing unit and integration tests to validate new features and functionalities. Support fix and debugging efforts for existing systems to resolve bugs and performance issues. Perform application support and administration tasks such as periodic review, manage incident response and resolution, and security reviews. Continuous LearningStay up-to-date with the newest technologies and standard methodologies, with a focus on expanding knowledge in cloud services, automation, and secure software development. What we expect of you Must-Have Skills: Solid technical background, including understanding software development processes, databases, and cloud-based systems. Experience configuring SaaS applications (such as Veeva). Experience working with databases (SQL/NoSQL). Strong foundational knowledge of testing methodologies. Good-to-Have Skills: Understanding of Veeva Quality Vault/ALM/KNEAT. Curiosity of modern technology domain and learning agility Experience with the following technologies Veeva Vault, MuleSoft, AWS (Amazon Web Services) Services (DynamoDB, EC2, S3, etc.), Application Programming Interface (API) integration and Structured Query Language (SQL) will be a big plus. Superb communication skills, with the ability to convey complex technical concepts. Qualification: Bachelors Degree and 0to 3 years of experience in software development processes, databases, and cloud-based systems Diploma and 4 to 7 years of experience in software development processes, databases, and cloud-based systems

What you will do As a Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable solutions and responding to requests for rapid releases of analytical outcomes. Design, develop, and maintain interactive dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Tableau, Cognos, others). Analyse datasets to identify trends, patterns, and insights that inform business strategy and decision-making. Partner with leaders and stakeholders across Finance, Sales, Customer Success, Marketing, Product, and other departments to understand their data and reporting requirements. Stay abreast of the latest trends and technologies in business intelligence and data analytics, inclusive of AI use in BI. Elicit and document clear and comprehensive business requirements for BI solutions, translating business needs into technical specifications and solutions. Collaborate with Data Engineers to ensure efficient up-system transformations and create data models/views that will hydrate accurate and reliable BI reporting. Contribute to data quality and governance efforts to ensure the accuracy and consistency of BI data. What we expect of you Basic Qualifications: Masters degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets AWS Developer certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

We are looking for a skilled AWS Cloud Engineer with a minimum of 5 years of hands-on experience in managing and implementing cloud-based solutions on AWS. The ideal candidate will have expertise in AWS core services such as S3, EC2, MSK, Glue, DMS, and SageMaker, along with strong programming and containerization skills using Python and Docker.Design, implement, and manage scalable AWS cloud infrastructure solutions. Hands-on experience with AWS services: S3, EC2, MSK, Glue, DMS, and SageMaker. Develop, deploy, and maintain Python-based applications in cloud environments. Containerize applications using Docker and manage deployment pipelines. Troubleshoot infrastructure and application issues, review designs, and code solutions. Ensure high availability, performance, and security of cloud resources. Collaborate with cross-functional teams to deliver reliable and scalable solutions.

My profile :- linkedin.com/in/yashsharma1608 Hiring manager profile :- on payroll of - https://www.nyxtech.in/ Clinet : Brillio PAYROLL AWS Architect Primary skills Aws (Redshift, Glue, Lambda, ETL and Aurora), advance SQL and Python , Pyspark Note : -Aurora Database mandatory skill Experience 9 + yrs Notice period Immediate joiner Location Any Brillio location (Preferred is Bangalore) Budget – 30 LPA Job Description: year of IT experiences with deep expertise in S3, Redshift, Aurora, Glue and Lambda services. Atleast one instance of proven experience in developing Data platform end to end using AWS Hands-on programming experience with Data Frames, Python, and unit testing the python as well as Glue code. Experience in orchestrating mechanisms like Airflow, Step functions etc. Experience working on AWS redshift is Mandatory. Must have experience writing stored procedures, understanding of Redshift data API and writing federated queries Experience in Redshift performance tunning.Good in communication and problem solving. Very good stakeholder communication and management

W e are seeking a highly skilled , hands -on and technically proficient Test Automation Engineering Manager with strong experience in data quality , data integration , and a specific focus on semantic layer validation . This role combines technical ownership of automated data testing solutions with team leadership responsibilities, ensuring that the data infrastructure across platforms remains accurate , reliable, and high performing . As a leader in the QA and Data Engineering space, you will be responsible for building robust automated testing frameworks, validating GraphQL -based data layers, and driving the teams technical growth. Your work will ensure that all data flows, transformations, and API interactions meet enterprise-grade quality standards across the data lifecycle. Y ou will be responsible for the end-to-end design and development of test automation frameworks, working collaboratively with your team. As the delivery owner for test automation, your primary responsibilities will include building and automating comprehensive validation frameworks for semantic layer testing, GraphQL API validation, and schema compliance , ensuring alignment with data quality, performance, and integration reliability standards. You will also work closely with data engineers, product teams, and platform architects to validate data contracts and integration logic, supporting the integrity and trustworthiness of enterprise data solutions. This is a highly technical and hands-on role, with strong emphasis on automation, data workflow validation , and the seamless integration of testing practices into CI/CD pipelines . Roles & Responsibilities: Design and implement robust data validation frameworks focused on the semantic layer, ensuring accurate data model, schema compliance, and contract adherence across services and platforms. Build and automate end-to-end data pipeline validations across ingestion, transformation, and consumption layers using Databricks, Apache Spark, and AWS services such as S3, Glue, Athena, and Lake Formation. Lead test automation initiatives by developing scalable, modular test frameworks and embedding them into CI/CD pipelines for continuous validation of semantic models, API integrations, and data workflows. Validate GraphQL APIs by testing query/mutation structures, schema compliance, and end-to-end integration accuracy using tools like Postman, Python, and custom test suites. Oversee UI and visualization testing for tools like Tableau, Power BI, and custom front-end dashboards, ensuring consistency with backend data through Selenium with Python and backend validations. Define and drive the overall QA strategy with emphasis on performance, reliability, and semantic data accuracy, while setting up alerting and reporting mechanisms for test failures, schema issues, and data contract violations. Collaborate closely with product managers, data engineers, developers, and DevOps teams to align quality assurance initiatives with business goals and agile release cycles. Actively contribute to architecture and design discussions, ensuring quality and testability are embedded from the earliest stages of development. Mentor and manage QA engineers, fostering a collaborative environment focused on technical excellence, knowledge sharing, and continuous professional growth. Must-Have Skills: Team Leadership Experience is also required. Strong 6+ years of experience in Requested Data Ops/Testing is required 7+ to 12 years of Overall experience is expected in Test Automation. Strong experience in designing and implementing test automation frameworks integrated with CI/CD pipelines. Expertise in validating data pipelines at the syntactic layer, including schema checks, null/duplicate handling, and transformation validation. Hands-on experience with Databricks, Apache Spark, and AWS services (S3, Glue, Athena, Lake Formation). Proficiency in Python, PySpark, and SQL for writing validation scripts and automation logic. Solid understanding of GraphQL APIs, including schema validation and query/mutation testing. Experience with API testing tools like Postman and Python-based test frameworks. Proficient in UI and visualization testing using Selenium with Python, especially for tools like Tableau, Power BI, or custom dashboards. Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI for test orchestration. Ability to implement alerting and reporting for test failures, anomalies, and validation issues. Strong background in defining QA strategies and leading test automation initiatives in data-centric environments. Excellent collaboration and communication skills, with the ability to work closely with cross-functional teams in Agile settings. Mentor and manage QA engineers, fostering a collaborative environment focused on technical excellence, knowledge sharing, and continuous professional growth. Good-to-Have Skills: Experience with data governance tools such as Apache Atlas, Collibra, or Alation Understanding of DataOps methodologies and practices Contributions to internal quality dashboards or data observability systems Awareness of metadata-driven testing approaches and lineage-based validations Experience working with agile Testing methodologies such as Scaled Agile. Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest. Education and Professional Certifications Bachelors/Masters degree in computer science and engineering preferred. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT We provide reasonable accommodations for individuals with disabilities during the application, interview process, job functions, and employment benefits. Contact us to request an accommodation .

Role Description: We are seeking a highly skilled, hands-on Senior QA & Test Automation Specialist (Test Automation Engineer)with strong experience in data validation , ETL testing , test automation , and QA process ownership . This role combines deep technical execution with a solid foundation in QA best practices including test planning, defect tracking, and test lifecycle management . You will be responsible for designing and executing manual and automated test strategies for complex real-time and batch data pipelines , contributing to the design of automation frameworks , and ensuring high-quality data delivery across our AWS and Databricks-based analytics platforms . The role is highly technical and hands-on , with a strong focus on automation, metadata validation , and ensuring data governance practices are seamlessly integrated into development pipelines. Roles & Responsibilities: Collaborate with the QA Manager to design and implement end-to-end test strategies for data validation, semantic layer testing, and GraphQL API validation. Perform manual validation of data pipelines, including source-to-target data mapping, transformation logic, and business rule verification. Develop and maintain automated data validation scripts using Python and PySpark for both real-time and batch pipelines. Contribute to the design and enhancement of reusable automation frameworks, with components for schema validation, data reconciliation, and anomaly detection. Validate semantic layers (e.g., Looker, dbt models) and GraphQL APIs, ensuring data consistency, compliance with contracts, and alignment with business expectations. Write and manage test plans, test cases, and test data for structured, semi-structured, and unstructured data. Track, manage, and report defects using tools like JIRA, ensuring thorough root cause analysis and timely resolution. Collaborate with Data Engineers, Product Managers, and DevOps teams to integrate tests into CI/CD pipelines and enable shift-left testing practices. Ensure comprehensive test coverage for all aspects of the data lifecycle, including ingestion, transformation, delivery, and consumption. Participate in QA ceremonies (standups, planning, retrospectives) and continuously contribute to improving the QA process and culture. Experience building or maintaining test data generators Contributions to internal quality dashboards or data observability systems Awareness of metadata-driven testing approaches and lineage-based validations Experience working with agile Testing methodologies such as Scaled Agile. Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest. Must-Have Skills: 69 years of experience in QA roles, with at least 3+ years of strong exposure to data pipeline testing and ETL validation. Strong in SQL, Python, and optionally PySpark comfortable with writing complex queries and validation scripts. Practical experience with manual validation of data pipelines and source-to-target testing. Experience in validating GraphQL APIs, semantic layers (Looker, dbt, etc.), and schema/data contract compliance. Familiarity with data integration tools and platforms such as Databricks, AWS Glue, Redshift, Athena, or BigQuery. Strong understanding of test planning, defect tracking, bug lifecycle management, and QA documentation. Experience working in Agile/Scrum environments with standard QA processes. Knowledge of test case and defect management tools (e.g., JIRA, TestRail, Zephyr). Strong understanding of QA methodologies, test planning, test case design, and defect lifecycle management. Deep hands-on expertise in SQL, Python, and PySpark for testing and automating validation. Proven experience in manual and automated testing of batch and real-time data pipelines. Familiarity with data processing and analytics stacks: Databricks, Spark, AWS (Glue, S3, Athena, Redshift). Experience with bug tracking and test management tools like JIRA, TestRail, or Zephyr. Ability to troubleshoot data issues independently and collaborate with engineering for root cause analysis. Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions). Experience validating data from various file formats such as JSON, CSV, Parquet, and Avro Strong ability to validate and automate data quality checks: schema validation, null checks, duplicates, thresholds, and transformation validation Hands-on experience with API testing using Postman, pytest, or custom automation scripts Good-to-Have Skills: Experience with data governance tools such as Apache Atlas, Collibra, or Alation Familiarity with monitoring/observability tools such as Datadog, Prometheus, or Cloud Watch Education and Professional Certifications Bachelors/Masters degree in computer science and engineering preferred. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

The Opportunity: Primary responsibilities will include: Understanding the design for enhancements in the product anddeveloping accordingly; participating actively in design discussions Analyzing Business Requirements, discussing impacted areas, suggesting solutions to resolve issues/areas of concern Coding and Unit testing of enhancements in the Product Suite Stabilizing and maintaining the Product Suite Actively participating in SCRUM ceremonies, providing constructive suggestions and inputs Developing testable, reusable, efficient, legible code for enhancements in Product Suite Analyzing root cause of issues and suggesting areas for improvement Actively contributing to meet the team commitments The Candidate: Required skills/qualifications: 5-8 years of relevant experience Hands-on experience with AWS services such as EC2, S3, Lambda, DynamoDB, API Gateway, and CloudFormation Strong proficiency in Java (Spring Boot, Hibernate, or other modern Java frameworks) Experience with Angular (including Angular CLI, RxJS, Angular forms, and component-based architecture) Experience in RESTful API development and integration with both front-end and back-end systems Solid understanding of databases (SQL and NoSQL databases like MySQL, MongoDB, DynamoDB) Familiarity with CI/CD pipelines, DevOps practices, and cloud infrastructure management using tools like Jenkins, Git, Docker, and Terraform Understanding of microservices architecture and experience building or maintaining microservices-based applications Fluency in written and spoken English Preferred skills/qualifications: Experience developing, building, testing, deploying, and operating applications Familiarity with working with cloud technologies Agile/Scrum methodologies, with the ability to manage multiple tasks in a fast-paced environment.

What you will do In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Lead the design, configure and deployment of the validation systems (such as Veeva Validation Management, ALM, and KNEAT) ensuring scalability, maintainability, and performance optimization. Implement best practices, conduct code review and provide technical guidance, mentorship to junior developers. Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline Collaborate closely with business collaborators to discuss requirements, ensuring alignment between technical capabilities and business objectives, while effectively communicating any technical limitations or constraints. Contribute to both front-end and back-end development using cloud technology. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Ensure all documents are compliant with 21 CFR Part 11, Annex 11, and other relevant regulations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements. Work closely with product team, business team, and other collaborators. Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT or related field experience OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field experience OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field experience Strong technical background, including understanding software development processes, databases, and cloud-based systems. Experience configuring the SaaS systems such as Veeva or ALM. Proficiency in one or more programming languages such as Java, Python, or JavaScript and familiarity with API-driven content delivery. Experience working with databases (SQL/NoSQL), and GenAI. Preferred Qualifications: Understanding of Veeva Quality Vault/ALM/KNEAT. Curiosity of modern technology domain and learning agility Experience with the following technologies: Veeva Vault, MuleSoft, AWS (Amazon Web Services) Services (DynamoDB, EC2, S3, etc.), Application Programming Interface (API) integration and Structured Query Language (SQL) will be a big plus. Excellent communication skills, with the ability to convey complex technical concepts. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

What you will do In this vital role you will we are seeking a highly skilled Associate IS Bus Sys Analyst to join our team. You will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Maintain existing code and configuration: Support and maintain SaaS applications Development & Deployment: Develop, test, and deploy code based on designs created with the guidance of senior team members. Implement solutions following standard methodologies for code structure and efficiency. Documentation: Generate clear and concise code documentation for new and existing features to ensure smooth handovers and easy future reference. Collaborative Design: Work closely with team members and collaborators to understand project requirements and translate them into functional technical designs. Code Reviews & Quality Assurance: Participate in peer code reviews, providing feedback on consistency to standard methodologies, and ensuring high code quality and maintainability. Testing & Debugging: Assist in writing unit and integration tests to validate new features and functionalities. Support fix and debugging efforts for existing systems to resolve bugs and performance issues. Perform application support and administration tasks such as periodic review, manage incident response and resolution, and security reviews. Continuous Learning: Stay up-to-date with the newest technologies and standard methodologies, with a focus on expanding knowledge in cloud services, automation, and secure software development. What we expect of you Must-Have Skills: Solid technical background, including understanding software development processes, databases, and cloud-based systems. Experience configuring SaaS applications (such as Veeva). Experience working with databases (SQL/NoSQL). Strong foundational knowledge of testing methodologies. Good-to-Have Skills: Understanding of Veeva Quality Vault/ALM/KNEAT. Curiosity of modern technology domain and learning agility Experience with the following technologies: Veeva Vault, MuleSoft, AWS (Amazon Web Services) Services (DynamoDB, EC2, S3, etc.), Application Programming Interface (API) integration and Structured Query Language (SQL) will be a big plus. Superb communication skills, with the ability to convey complex technical concepts. Qualification: Bachelors Degree and 0 to 3 years of experience in software development processes, databases, and cloud-based systems Diploma and 4 to 7 years of experience in software development processes, databases, and cloud-based systems

About the Role: Grade Level (for internal use): 10 T he Team: Financial Risk Analytics at S&P Global provides products and solutions to financial institutions to measure and manage their counterparty credit risk, market risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our products are available deployed, in the cloud or can be run as a service. We have a need for an enthusiastic and skilled Senior Python developer who is interested in learning about quantitative analytics and perhaps looking to make a career at the intersection of Financial Analytics, Big Data and Mathematics! The Impact: You will be working on a strategic component that allows clients to on-demand extract data required for pricing and risk calculations. This is an essential entry point to a risk calculation which requires speed to market and good design to drive efficient and robust workflows. Whats in it for y ou: The successful candidate will gain exposure to risk analytics and latest trending technology that allows you to grow into a hybrid role specializi ng in both financial markets and technology a highly rewarding, challenging, and marketable position to gain skills in. Responsibilities: The successful candidate will work on the Market Risk solution with a technology stack that is best of breed, involving Python 3.10+ , Airflow, Pandas, NumPy , ECS (AWS) . You will join a fast-paced, dynamic team environment, building commercial products that are at the heart of the business and contributing directly to revenue generation. Design and implement end to end applications in Python with an emphasis on efficiently writing functions on large datasets. Interpret and analyse business use-cases and feature requests into technical designs and development tasks. Participate in regular design and code review meetings. Be a responsive team player in system architecture and design discussions. Be proud of the high quality of your own work. Always follow quality standards (unit tests, integration tests and documented code) Happy to coach and mentor junior engineers. Be delivery focused, have a passion for technology and enjoy offering new ideas and approaches. Demonstrable technical capacity in understanding technical deliveries and dependencies. Strong experience in working in software engineering projects in an Agile manner. What Were Looking For: Bachelors degree in computer science, Engineering, or a related discipline, or equivalent experience Computer Science and Software Engineering: Strong software development experience Minimum 8 years' experience in developing applications using Python. Experience using Python 3.10+ Core Python with rich knowledge in OO methodologies and design. Experience writing python code that is scalable and performant. Experience/exposure to complex data types when designing and anticipating issues that impact performance (under ETL processes) by generating metrics using industry adopted profiling tools during development. Experience working on AWS, ECS, S3 and ideally MWAA (hosted Airflow on AWS) Experience working in data engineering/orchestration and scalable efficient flow design. Experience in developing data pipelines using Airflow. Good working competency in Docker, Git, Linux Good working knowledge of Pandas and NumPy Understanding of CI/CD pipelines Test frameworks. Agile and XP (Scrum, Kanban, TDD) Experience with cloud-based infrastructures, preferably with AWS. Fluent in English Passionate individual who thrives development, data and is hands on.

Bachelor s degree in Computer Science, Engineering, or a related field. 4-6 years of professional experience with AWS Lambda and serverless architecture. Proficiency in Python programming. Strong experience with shell scripting and SQL Experience working in Production environment and well versed with ITIL processes. Excellent communication and interpersonal skills. Experience with Oracle BRM is an advantage but not mandatory. Familiarity with other AWS services (e.g., S3, DynamoDB, API Gateway) is desirable. Ability to work independently and in a team environment.

About the Role: Grade Level (for internal use): 10 S&P Dow Jones Indices The Role S&P Dow Jones Indices a global leader in providing investable and benchmark indices to the financial markets, is looking for a Java Application Developer to join our technology team. The Location Mumbai/Hyderabad/Chennai The Team You will be part of global technology team comprising of Dev, QA and BA teams and will be responsible for analysis, design, development and testing. The Impact You will be working on one of the core technology platforms responsible for the end of day calculation as well as dissemination of index values. Whats in it for you You will have the opportunity to work on the enhancements to the existing index calculation system as well as implement new methodologies as required. Responsibilities Design and development of Java applications for SPDJI web sites and its feeder systems. Participate in multiple software development processes including Coding, Testing, De-bugging & Documentation. Develop software applications based on clear business specifications. Work on new initiatives and support existing Index applications. Perform Application & System Performance tuning and troubleshoot performance issues. Develop web based applications and build rich front-end user interfaces. Build applications with object oriented concepts and apply design patterns. Integrate in-house applications with various vendor software platforms. Setup development environment / sandbox for application development. Check-in application code changes into the source repository. Perform unit testing of application code and fix errors. Interface with databases to extract information and build reports. Effectively interact with customers, business users and IT staff. What were looking for Basic Qualification Bachelors degree in Computer Science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience. (6 to 9) years of IT experience in application development and support. Strong Experience with Java, J2EE, JMS &.EJBs Advanced SQL & basic PL/SQL programming Basic networking knowledge / Unix scripting Exposure to UI technologies like react JS Basic understanding of AWS cloud (EC2, EMR, Lambda, S3, Glue, etc.) Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies. Preferred Qualification Experience working with large datasets in Equity, Commodities, Forex, Futures and Options asset classes. Experience with Index/Benchmarks or Asset Management or Trading platforms. Basic Knowledge of User Interface design & development using JQuery, HTML5 & CSS.

S&P Dow Jones Indices is seeking a Python/Bigdata developer to be a key player in the implementation and support of data Platforms for S&P Dow Jones Indices. This role requires a seasoned technologist who contributes to application development and maintenance. The candidate should actively evaluate new products and technologies to build solutions that streamline business operations. The candidate must be delivery-focused with solid financial applications experience. The candidate will assist in day-to-day support and operations functions, design, development, and unit testing. Responsibilities and Impact: Lead the design and implementation of EMR Spark workloads using Python, including data access from relational databases and cloud storage technologies. Implement new powerful functionalities using Python, Pyspark, AWS and Delta Lake. Independently come up with optimal designs for the business use cases and implement the same using big data technologies. Enhance existing functionalities in Oracle/Postgres procedures, functions. Performance tuning of existing Spark jobs. Respond to technical queries from operations and product management team. Implement new functionalities in Python, Spark, Hive. Enhance existing functionalities in Postgres procedures, functions. Collaborate with cross-functional teams to support data-driven initiatives. Mentor junior team members and promote best practices. Respond to technical queries from the operations and product management team. What Were Looking For: Basic Required Qualifications: Bachelors degree in computer science, Information Systems, or Engineering, or equivalent work experience. 5 - 8 years of IT experience in application support or development. Hands on development experience on writing effective and scalable Python programs. Deep understanding of OOP concepts and development models in Python. Knowledge of popular Python libraries/ORM libraries and frameworks. Exposure to unit testing frameworks like Pytest. Good understanding of spark architecture as the system involves data intensive operations. Good amount of work experience in spark performance tuning. Experience/exposure in Kafka messaging platform. Experience in Build technology like Maven, Pybuilder. Exposure with AWS offerings such as EC2, RDS, EMR, lambda, S3,Redis. Hands on experience in at least one relational database (Oracle, Sybase, SQL Server, PostgreSQL). Hands on experience in SQL queries and writing stored procedures, functions. A strong willingness to learn new technologies. Excellent communication skills, with strong verbal and writing proficiencies. Additional Preferred Qualifications: Proficiency in building data analytics solutions on AWS Cloud. Experience with microservice and serverless architecture implementation.

-5-7 years of experience in Software/Application development/enhancement and handling high-priority customer escalations. - Rich experience in Node.Js, JavaScript, Angular, AWS (S3, Lambda, EC2, Dynamo, Cloudfront, ALB). - Good Experience in Redis, DynamoDB, SQL Databases - Good Experience with Microservices - Strong analytical, communication and interpersonal skills.

About the Role: Grade Level (for internal use): 11 The Role: Lead Software Engineering The Team: Our team is responsible for the architecture, design, development, and maintenance of technology solutions to support the Sustainability business unit within Market Intelligence and other divisions. Our program is built on a foundation of inclusivity, enablement, and adaptability and respect which fosters an environment of open-communication and trust. We take pride in each team members accountability and responsibility to move us forward in our strategic initiatives. Our work is collaborative, we work transparently with others within our business unit and others across the entire organization. The Impact: As a Lead, Cloud Engineering at S&P Global, you will be instrumental in streamlining the software development and deployment of our applications to meet the needs of our business. Your work ensures seamless integration and continuous delivery, enhancing the platform's operational capabilities to support our business units. You will collaborate with software engineers and data architects to automate processes, improve system reliability, and implement monitoring solutions. Your contributions will be vital in maintaining high availability security and performance standards, ultimately leading to the delivery of impactful, data-driven solutions. Whats in it for you: Career Development: Build a meaningful career with a leading global company at the forefront of technology. Dynamic Work Environment: Work in an environment that is dynamic and forward-thinking, directly contributing to innovative solutions. Skill Enhancement: Enhance your software development skills on an enterprise-level platform. Versatile Experience: Gain full-stack experience and exposure to cloud technologies. Leadership Opportunities: Mentor peers and influence the products future as part of a skilled team. Key Responsibilities: Design and develop scalable cloud applications using various cloud services. Collaborate with cross-functional teams to define, design, and deliver new features. Implement cloud security best practices and ensure compliance with industry standards. Monitor and optimize application performance and reliability in the cloud environment. Troubleshoot and resolve issues related to our applications and services. Stay updated with the latest cloud technologies and trends. Manage our cloud instances and their lifecycle, to guarantee a high degree of reliability, security, scalability, and confidence at any given time. Design and implement CI/CD pipelines to automate software delivery and infrastructure changes. Collaborate with development and operations teams to improve collaboration and productivity. Manage and optimize cloud infrastructure and services. Implement configuration management tools and practices. Ensure security best practices are followed in the deployment process. What Were Looking For: Bachelor's degree in Computer Science or a related field. Minimum of 10+ years of experience in a cloud engineering or related role. Proven experience in cloud development and deployment. Proven experience in agile and project management. Expertise with cloud services (AWS, Azure, Google Cloud). Experience in EMR, EKS, Glue, Terraform, Cloud security, Proficiency in programming languages such as Python, Java, Scala, Spark Strong Implementation experience in AWS services (e.g. EC2, ECS, ELB, RDS, EFS, EBS, VPC, IAM, CloudFront, CloudWatch, Lambda, S3. Proficiency in scripting languages such as Bash, Python, or PowerShell. Experience with CI/CD tools like Azure CI/CD. Experience in SQL and MS SQL Server. Knowledge of containerization technologies like Docker, Kubernetes. Nice to have - Knowledge of GitHub Actions, Redshift and machine learning frameworks Excellent problem-solving and communication skills. Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines. Demonstrate strong communication and documentation skills for both technical and non-technical audiences.

Lead the end-to-end software development lifecycle for custom application projects, ensuring high-quality delivery& alignment with business requirements Design,develop,implement system integrations to streamline business processes, Mentor&guide teams Required Candidate profile Exp working with technologies in large-scale,multiplatform systems environment Team lead exp defining/delivering enterprise solutions leading custom application development projects,SDLC&Agile method

Strong in JavaScript Frameworks Strong in HLDs & LLDs Strong into System design database Schemas Excellent in Coding Convention & Quality Standards Exp. in 3rd party skills (REST APIs, SOAP APIs, XML, JSON SaaS Application, AWS with S3, EKS, RDS, EC2 Required Candidate profile Building Application (Profilers, APM tools, Security Scanning Tools Exp in CI/CD tooling Competency frontend framework/Library ie React, Angular or NodeJS Developing Production Code TypeScript & React

Role Overview: Develop, and execute integration tests to ensure seamless interaction between various components of our cybersecurity solutions. Develop, and execute manual and automated security test plans for our cybersecurity solutions. Utilize strong AWS knowledge to manage and test applications in cloud environments, ensuring high availability and security. Apply deep networking skills to validate network configurations, security protocols, and data integrity. Develop and execute comprehensive API test plans to verify the functionality, reliability, and performance of our API endpoints. Design and implement robust automation frameworks to streamline testing processes and improve efficiency. Identify, document, and track software defects, ensuring timely resolution and quality improvements. Work closely with developers, product managers, and other QA team members to understand requirements, design test plans, and deliver high-quality products. Stay updated with the latest industry trends, tools, and best practices to continuously improve testing methodologies. Minimum of 4+years of experience in QA engineering, with a focus on integration testing and automation. Proven experience working with AWS services, including EC2, S3, RDS, and Lambda. Good understanding of network protocols, firewalls, VPNs, and security configurations. Hands-on experience with API testing tools such as Postman, SoapUI, or similar. Good knowledge of integration testing principles and methodologies Proficiency in automation tools and frameworks such as Selenium, JUnit, TestNG, or similar. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Good programming skills in languages such as Java, Python, or similar. Excellent analytical and problem-solving skills. Strong verbal and written communication skills, with the ability to clearly articulate technical concepts. Bachelors degree in computer science, Information Technology, or a related field. Advanced certifications in AWS or networking are a plus.

We seek an experienced and dynamic DevOps Architect to lead technical initiatives and manage a high performing DevOps team in an IT services environment. This role combines technical expertise in AWS and DevOps practices with strong leadership and team management skills to manage the DevOps Team. Primary Skills: AWS Services: Expertise in AWS services such as EC2, S3, RDS, Lambda, and Kubernetes (EKS). DevOps Practices: Strong experience in implementing CI/CD pipelines, infrastructure automation, and tools like Jenkins, Terraform, and AWS CodePipeline. Cloud Architecture: Experience in designing secure, scalable, and cost-effective cloud infrastructure. Team Leadership: Proven ability to manage and mentor a team of DevOps engineers, track progress, and ensure timely delivery. Monitoring & Troubleshooting: Expertise in AWS CloudWatch, CloudTrail, and performance optimization techniques. Roles and Responsibilities - Cloud Infrastructure Design and Implementation: - Architect and oversee the deployment of secure, scalable, and cost-effective AWS cloud solutions using services like EC2, S3, RDS, Lambda, and Kubernetes (EKS). - Ensure AWS cloud architectures align with industry best practices, security standards, and client requirements. DevOps Strategy and Execution: - Work with the client team to define and implement DevOps strategies, including CI/CD pipeline creation, automated testing, and infrastructure automation using tools like Jenkins, Terraform, and AWS CodePipeline. - Optimize existing DevOps workflows to improve efficiency, reliability, and scalability. - Understand the client-side technical environment and projects and propose solutions and recommendations. Team Management and Leadership: - Manage and mentor a team of DevOps engineers, ensuring skill development and alignment with project goals. - Assign tasks, track progress, and ensure timely delivery of client deliverables. - Foster a collaborative, innovative, and results-driven team culture. Client Engagement and Stakeholder Collaboration: - Act as a key point of contact for clients, understanding their needs and translating business requirements into technical solutions. - Collaborate with cross-functional teams, including development, QA, and operations, to ensure seamless project execution. Monitoring, Troubleshooting, and Performance Optimization: - Implement monitoring, logging, and alerting systems using AWS CloudWatch, CloudTrail, and other tools. - Proactively identify and resolve performance bottlenecks and system issues to ensure high availability and reliability. Process Improvement and Innovation: - Continuously evaluate and recommend new tools, technologies, and practices to enhance team performance and service quality. - Drive the adoption of emerging trends such as DevSecOps and Infrastructure as Code (IaC)."