Project Description:
• We are looking for a QA Engineer to join our team working on a cloud based high performance analytics platform used in the Capital Markets domain for validating, transforming, and analyzing large volumes of financial data.
• Ideal candidate can own both manual functional testing and test automation (UI + E2E) across our front-end interfaces, analytics workflows, and API layers. You will contribute to quality strategy, build automation frameworks, and help the team deliver a highly reliable platform used by financial analysts and enterprise clients.

Responsibilities:
• Manual Testing
• Analyze requirements, acceptance criteria, and specifications for new features.
• Create and maintain test plans, test cases, and test scenarios across UI, API, and data workflows.
• Perform functional, regression, exploratory, and integration testing.
• Validate correctness of data transformation, analytical workflows, and large dataset processing.
• Collaborate closely with Product, Developers, and Data/AI Engineers to clarify expected behavior.
• Automation
• Develop and maintain UI automation using:
• Java
• Selenium
• Implement E2E scenarios covering cross-service workflows.
• Build reusable test utilities, fixtures, and Page Object patterns.
• Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins / AWS CodeBuild).




• Configure test runs in AWS environments (dev/stage/prod).
• Participate in root-cause analysis of defects and quality incidents.
• Quality Engineering
• Contribute to QA strategy and test automation roadmap.
• Improve test stability, reduce flakiness, optimize runtime.
• Define KPIs for coverage, quality, and regression scope.
• Support test data preparation and environment setup. Mandatory Skills Description:
• 5+ years of experience as a QA Engineer (Manual + Automation).
• Robust experience testing client-server applications and understanding of web technologies.
• Experience testing Agentic AI workflows.
• Hands-on experience with:
• Java
• Selenium
• Solid understanding of testing methodologies, QA lifecycle, and Agile processes.
• Experience testing REST APIs (e.g., Postman).
• Good understanding of CI/CD, Git, test execution pipelines.
• Familiarity with cloud environments (AWS ideally).
• Ability to analyze complex workflows and large datasets.
• Strong communication skills and a proactive mindset. Nice-to-Have Skills Description:
• Experience with Capital Markets, trading, market data, or financial analytics.
• Exposure to AI/ML-based systems and their validation approaches.
• Knowledge of modern test reporting systems (Allure).
• Experience with performance testing (JMeter).

📌 Senior QA Engineer Automation (Noida)
🏢 Luxoft India
📍 Noida