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

5+ years of experience as a QA Engineer – Python Automation Engineer (Playwright)

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).

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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