• Design, develop, test, deploy, and maintain features • Work on backend services using .NET and TypeScript/Node.js , depending on product requirements • Own feature delivery from requirement analysis to production release • Collaborate with product managers, architects, QA engineers, DevOps, and other stakeholders • Build scalable, reliable, and maintainable services using distributed systems and microservices architecture • Ensure code quality through unit testing, integration testing, code reviews, and engineering best practices • Participate in technical design discussions and contribute to architecture decisions • Work with cloud platforms such as AWS or Azure for application deployment and operations • Contribute to CI/CD pipelines, release processes, observability, and production readiness • Apply strong SDLC practices across planning, development, testing, deployment, and support • Explore and contribute to AI Engineering initiatives, such as productivity automation, AI-assisted workflows, or AI-powered system capabilities • Troubleshoot and resolve production issues in a timely and effective manner

• Design, develop, and maintain automated test frameworks using Selenium, Playwright, and .NET technologies • Ensure product quality through efficient and scalable automation practices • Develop and maintain automation frameworks using Selenium and Playwright • Write automation scripts using C# (.NET) • Collaborate with Product, QA, and Development teams • Execute and analyze automated test results • Integrate automation into CI/CD pipelines • Perform API testing using Postman or similar tools • Identify, track, and report defects • Support release and production validation • Leverage AI-powered testing tools to enhance automation efficiency • Utilize self-healing automation techniques • Assist in AI-based test case generation and optimization • Analyze defect patterns using AI insights

• Design, update, and execute advanced test plans and test cases, ensuring optimal coverage. • Generate and manage complex test data through application logic or API requests during various stages of test execution. • Conduct robust API testing, including data extraction and validation, while understanding and testing API workflows comprehensively. • Identify and debug issues using application logs and system/service logs. • Develop and maintain detailed test documentation, including test plans, reports, and strategies. • Ensure that business requirements are mapped to functional specifications and maintain sufficient test coverage throughout. • Report detailed and actionable test results, document defects clearly, and follow up on resolutions, including verifying fixes and updating bug tracking tools. • Contribute to the improvement of QA processes, tools, and methodologies to enhance overall product quality.

• Develop and maintain automated unit, integration, and end-to-end tests. • Improve test coverage and identify quality risks across existing applications. • Leverage AI tools (e.g., Claude, Copilot) to accelerate test development and maintenance. • Troubleshoot and resolve test failures across application, infrastructure, and data layers. • Reduce flaky tests and improve CI/CD pipeline reliability. • Collaborate with engineering teams to enhance testability and confidence in production systems. • Establish scalable testing standards, tools, and best practices across multiple products.