QA Engineer (Automation + Manual + AI)

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:
• Selenium
• Playwright
• 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:

• PlayWright
• Selenium

Mandatory Skills Description:

• 5+ years of experience as a QA Engineer (Manual + Automation).
• Strong experience testing client-server applications and understanding of web technologies.
• Experience testing Agentic AI workflows.
• Hands-on experience with:
• Selenium WebDriver (Java)
• Playwright (TypeScript)
• Solid understanding of testing methodologies, QA lifecycle, and Agile processes.
• Experience testing REST APIs (e.g., Postman, Playwright API).
• 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, Playwright Trace Viewer).
• Experience with performance testing (JMeter).
• Python scripting experience for test data generation and automation utilities.