Senior QA Engineer Automation (Python/Playright)

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

• Automation
• 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 Code Build).
• Configure test runs in AWS environments (dev/stage/prod).
• Use Microsoft Copilot, GitHub Copilot, and Claude to generate test cases
• 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. Manual Testing
• Analyze requirements, acceptance criteria, and specifications for new features.
• Perform functional, regression, exploratory, and integration testing.
• Experience in handling data transformation, analytical workflows, and large dataset processing.
• Collaborate closely with Product, Developers, and Data/AI Engineers to clarify expected behavior.

SKILLS

Must have

• 7+ years of experience as a QA Engineer – with minimum of 5 years as Automation Engineer Should have strong and recent Hands-On Experience in Python/Playwright Skilled in leveraging Agentic AI tools such as Claude, Microsoft Copilot, and GitHub Copilot for automated test case generation, script development, defect analysis Hands-on experience in AI-assisted test automation frameworks Automate API testing using tools like Requests, PyTest, or Postman Exposure to various Automation Framework Design Pattern Should have worked on Java/Selenium/BDD Cucumber Good understanding of:
• Web technologies (HTML, CSS, JavaScript)
• REST APIs
• JSON/XML
• SQL databases Experience with Git version control. Knowledge of CI/CD implementation. Excellent debugging and problem-solving skills Exposure in Performance Testing Should have exposure to cloud Technologies – AWS/Azure (Preferably AWS) Expertise with analyzing complex workflows and large datasets. Solid Exposure to testing methodologies, QA lifecycle, and Agile processes. Strong communication skills

Nice to have

• 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).

Responsibilities

• Automation • 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 Code Build). • Configure test runs in AWS environments (dev/stage/prod). • Use Microsoft Copilot, GitHub Copilot, and Claude to generate test cases • 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. Manual Testing • Analyze requirements, acceptance criteria, and specifications for new features. • Perform functional, regression, exploratory, and integration testing. • Experience in handling data transformation, analytical workflows, and large dataset processing. • Collaborate closely with Product, Developers, and Data/AI Engineers to clarify expected behavior.