Senior QA Engineer
Prevalent AI (company site, opens in a new tab)KochiOn-siteDirect career pageEst. 9–16 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain automated test suites achieving approximately 85–90% automation coverage with minimal manual testing.
- Develop robust test automation frameworks using Python, Pytest, PySpark, and SQL for functional, integration, API, regression, and data-processing scenarios.
- Leverage AI agents for test-case generation, code analysis, failure investigation, and integrate automated testing into CI/CD pipelines for scalable regression validation.
Minimum Requirements
- Strong hands-on programming experience in Python including debugging and reusable code development.
- Experience with Pytest, PySpark, SQL, API automation (Python), and UI automation tools like Selenium or Playwright.
- Experience testing data-intensive applications and distributed data processing workflows with automated data quality and database validation.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Proven ability to design and maintain scalable automated test frameworks for complex, data-intensive applications.
- Experience leveraging AI/LLM tools to augment QA workflows and improve automation efficiency.
- Comfortable working in Agile environments with CI/CD pipelines, Docker, Linux, and collaboration with cross-functional teams including developers and data engineers.