QA Engineer - Data Automation (Python & Playwright)

Project description We are seeking a highly skilled Senior QA Engineer - Data Automation to lead the design and implementation of automated testing frameworks for our web-based platforms. You will be responsible for building scalable and reusable test suites using Playwright with Python, integrating them into CI/CD workflows, and ensuring robust quality coverage across our applications. This role is ideal for someone passionate about test automation, continuous improvement, and working in a fast-paced, collaborative Agile environment. Responsibilities Design and implement robust, scalable, and reusable test automation frameworks using Playwright with Python. Write end-to-end test cases for web applications, covering functional and regression testing. Integrate test automation into CI/CD pipelines (e.g., Jenkins, GitLab CI). Collaborate closely with developers, product managers, and other QA engineers in agile teams. Identify, document, and track bugs; work with development teams to resolve issues. Perform root cause analysis of test failures and improve automation stability. Continuously improve test coverage and automation efficiency. SKILLS Must have Experience: At least 6+ years in software QA, with 4+ years in test automation using Python. Automation Tools: Deep experience with Playwright. Programming: Strong Python programming skills, particularly in writing modular, reusable code for test automation. CI/CD: Hands-on experience integrating tests into pipelines using tools like Jenkins, GitLab CI, CircleCI, etc. Testing Knowledge: Solid understanding of QA methodologies, SDLC/STLC, and test management. Experience with functional, regression, integration, and UI testing. Collaboration & Tools: Experience using tools like JIRA, TestRail, or Xray for defect and test case management. Familiarity with version control systems (e.g., Git). Strong communication and collaboration skills to work across Agile teams. Nice to have N/A