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Lead functional and automated testing for ETL and Data Cloud projects. Develop complex SQL queries, validate data warehouses, and apply QA fundamentals using Azure, Python, and Pandas. Work within Agile teams, take ownership of deliverables, and guide team members toward successful testing outcomes.

Performs end-to-end software testing across the STLC, including test planning, case design, execution, defect management, and reporting. Develops and maintains Java and Selenium UI automation, REST/SOAP API tests, database validation using SQL, and automation frameworks. Integrates test suites with CI/CD pipelines, investigates failures, supports Agile ceremonies, and collaborates with development and business teams. Uses GenAI tools to improve test generation, scripting, and test data creation.

Leads large functional testing teams and owns end-to-end test delivery across multiple projects. Responsibilities include test planning, execution, defect management, reporting, release sign-off, delivery governance, stakeholder and client management, resource and risk planning, quality metrics, process improvement, and team development. The role ensures projects meet timelines, budgets, quality standards, and customer expectations while following SDLC, STLC, and Agile/Scrum practices.

Develop and maintain scalable full-stack enterprise applications using Java, React, Spring Boot, Spring MVC, and Oracle SQL. Build RESTful services, reusable responsive interfaces, database components, and microservices. Perform code reviews, testing, debugging, performance tuning, modernization, and production support. Collaborate with architects, analysts, QA, and cross-functional teams in an Agile environment while using Git and CI/CD practices.

Designs, implements, and supports enterprise cloud and IT infrastructure, primarily using Microsoft Azure and DevOps technologies. Responsibilities include Kubernetes and container orchestration, infrastructure as code, CI/CD automation, cloud platform modernization, monitoring, security, networking, and database support. The role improves reliability and availability of mission-critical systems, advances DevOps practices, and collaborates with cross-functional teams while supporting secure platforms at scale.

Develop, test, maintain, and support applications on the IBM i/AS400 platform. Write RPG, RPGLE, CL, and SQL programs; manage DB2/400 data; troubleshoot production issues; optimize performance; conduct code reviews; and translate business requirements into technical specifications. Collaborate with business analysts, QA, and infrastructure teams while supporting enhancements, upgrades, integrations, documentation, and coding standards.

Performs software testing across the STLC, including test planning, execution, defect management, UI and API automation, database validation, and reporting. Develops Java and Selenium automation frameworks, integrates tests with CI/CD pipelines, analyzes failures, and collaborates with Agile teams. Uses SQL for backend verification and AI tools such as ChatGPT and Claude for test generation, coding assistance, test data creation, and failure analysis.

Design, develop, and maintain scalable backend services, APIs, and distributed microservices using Go and Node.js. Apply Spec-Driven Development practices, improve performance and reliability, contribute to CI/CD and automated testing, conduct code reviews, document technical systems, collaborate cross-functionally, and mentor junior and mid-level developers.

Develop full-stack web applications using Django, Django templates, DRF, HTML, CSS, and JavaScript. Build database models and optimize queries, develop secure APIs and services, and apply testing, code review, Git, and CI/CD practices. Collaborate with product and platform teams to deliver production-ready solutions. The role may also involve FastAPI microservices and exploratory GenAI integrations.

Develop and maintain full-stack web applications using C#, .NET, ASP.NET MVC, Web API, Angular, Azure SQL, and Microsoft Azure. Responsibilities include designing APIs and database layers, deploying applications, configuring Azure DevOps CI/CD pipelines, troubleshooting production issues, optimizing performance, participating in code reviews, and collaborating with cross-functional stakeholders. The role also involves using AI-powered developer tools and following software engineering best practices.