Job Description
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).
- Strong experience testing client-server applications and understanding of web technologies.
- Experience testing Agentic AI workflows.
- 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).
More Info
Key Skills
Agentic AI workflows
modern test reporting systems
test execution pipelines
CI CD
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