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Job Description — Python QE Automation Engineer
Role Overview
We are looking for a skilled Python QE (Quality Engineering) Automation Engineer to design, develop, and maintain automated test frameworks and quality assurance solutions for web, API, and backend applications. The ideal candidate should have strong Python programming skills, experience with automation tools, and a solid understanding of software testing methodologies within Agile environments.
Key Responsibilities
Technical Skills
Job Description — Python QE Automation Engineer
Role Overview
We are looking for a skilled Python QE (Quality Engineering) Automation Engineer to design, develop, and maintain automated test frameworks and quality assurance solutions for web, API, and backend applications. The ideal candidate should have strong Python programming skills, experience with automation tools, and a solid understanding of software testing methodologies within Agile environments.
Key Responsibilities
- Design, develop, and maintain scalable automation test frameworks using Python.
- Create and execute automated test scripts for:
- Web applications
- REST APIs
- Backend systems
- Microservices
- Perform functional, regression, integration, and end-to-end testing.
- Collaborate with developers, DevOps, and product teams to ensure software quality throughout the SDLC.
- Integrate automated tests into CI/CD pipelines.
- Analyze test results, identify defects, and work with engineering teams for resolution.
- Develop reusable utilities, libraries, and testing tools.
- Participate in test planning, estimation, and test strategy discussions.
- Ensure quality metrics and reporting are maintained.
- Support performance and reliability testing when required.
Technical Skills
- Strong programming experience in Python.
- Experience with automation frameworks/tools such as:
- PyTest
- Selenium
- Playwright
- Robot Framework
- Behave / BDD frameworks
- API testing experience using:
- Requests library
- Postman
- REST Assured (good to have)
- Knowledge of:
- SQL and database validation
- Git/GitHub
- Linux/Unix commands
- CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
- Docker/Kubernetes (preferred)
- Understanding of Agile/Scrum methodologies.
- Test case design
- Automation framework architecture
- Regression testing
- Smoke/Sanity testing
- Defect lifecycle management
- Test reporting and debugging
- Bachelor’s degree in Computer Science, IT, or related field.
- 3–8 years of experience in QA automation.
- Experience working with cloud platforms like AWS/Azure/Google Cloud Platform.
- Exposure to performance testing tools such as JMeter or Locust.
- Knowledge of security or accessibility testing is a plus.