Job highlights

- Solid proficiency in Python and pytest for test automation, experience with API testing (REST, GraphQL), database testing using PostgreSQL/MySQL, mocking libraries, containerized test environments, and CI/CD pipeline integration
- Develop and maintain automated test code, validate APIs and databases, implement mocking and isolation, manage containerized test setups, and integrate tests into CI/CD workflows

Technical Skills

Strong proficiency in Python with experience writing clean, maintainable test code Deep experience with pytest (fixtures, parametrize, plugins, markers, conftest patterns) API testing: requests/httpx library usage, REST and GraphQL validation, authentication/token handling in test flows Database testing:



SQL query validation, data integrity checks;

experience with PostgreSQL, MySQL, or similar RDBMS Mocking and isolation: unittest.mock, responses, moto (for AWS services), or similar libraries Familiarity with containerized test environments using Docker and Docker Compose CI/CD integration: writing and maintaining test stages in GitLab CI, Jenkins, or GitHub Actions pipelines Proficiency using AI coding assistants (GitHub Copilot, Amazon Q, or similar) to generate, refactor, and optimize test automation cod

📌 Python QA (Hyderabad)
🏢 Capgemini
📍 Hyderabad