Sr QA Engineer-Python Automation

Job summary:

We are looking for a highly skilled Senior QA Engineer with strong expertise in Python-based test automation and modern QA practices. The ideal candidate will have hands-on experience in automation frameworks, API testing, CI/CD pipelines, cloud environments, and distributed systems. Experience in the InsureTech domain will be an added advantage.

The role involves collaborating with developers, DevOps teams, and product stakeholders to ensure high-quality software delivery through scalable and efficient testing solutions.

Experience: 5+ to 8 years

Key Responsibilities

• Design, develop, and maintain scalable automated test frameworks using Python.
• Build and execute automated test suites for web applications, APIs, and microservices.
• Perform functional, regression, integration, and end-to-end testing.
• Validate APIs using Postman, REST Assured, Python requests, or similar tools.
• Integrate automated tests into CI/CD pipelines using GitLab CI or GitHub Actions.
• Conduct database and backend validation including SQL and Data Lake testing.
• Work closely with development and DevOps teams to ensure quality throughout the SDLC.
• Perform root cause analysis and troubleshoot defects efficiently.
• Participate in sprint planning, requirement analysis, and release validation.
• Mentor junior QA engineers and contribute to QA best practices.
• Explore and implement AI-powered testing tools and intelligent test generation platforms.

Technical Skills

• Strong proficiency in Python for automation testing.
• Hands-on experience with frameworks such as pytest, unittest, Selenium, or similar.
• Experience with API testing tools: Postman, REST Assured, Python requests.
• Strong understanding of CI/CD pipelines using GitLab CI or GitHub Actions.
• Good working knowledge of Git and version control workflows.
• Strong SQL skills and database testing experience.
• Understanding of Data Lake architectures and backend data validation.
• Experience with Docker and containerized environments.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Understanding of microservices architecture and distributed systems.
• Exposure to AI-powered testing tools or automated test generation platforms.

Interested candidate can share their resume on [Confidential Information]