Lead QA Automation Engineer - Playwright

Must-Have Skills

• 8–10 years of QA Automation / Quality Engineering experience.
• Advanced hands-on Playwright – framework design, reusable components, debugging, parallel execution, cross-browser testing.
• Strong JavaScript/TypeScript skills plus one additional language: Java, C#, or Python.
• Advanced API automation – REST, OpenAPI/Swagger, Postman, service virtualization, and backend validation.
• Experience architecting automation for cloud, distributed, and enterprise applications.
• Strong Azure DevOps / CI-CD experience – source control, branching, PRs, quality gates, test reporting, parallel execution, environment management, and failure analysis.
• Proven experience building reusable automation frameworks, libraries, fixtures, utilities, reporting, and test-data solutions.
• Experience defining automation patterns, coding standards, review practices, technical standards, and quality gates.
• Hands-on Generative AI / AI coding assistant experience for QA – test design, code generation, maintenance, test data, defect triage, and quality insights.
• Ability to evaluate AI outputs and establish human validation, secure data handling, traceability, maintainability, and responsible-use practices.
• Strong knowledge of SDLC, Agile, BDD, risk-based testing, continuous testing, and quality metrics.
• Proven technical leadership across complex automation initiatives and multiple applications/teams.
• Experience with code reviews, pairing, technical workshops, mentoring, and cross-team enablement.
• Ability to assess automation needs, select fit-for-purpose tools, and create adoption roadmaps.
• Experience working with onshore, offshore, and co-sourced teams.
• Strong communication skills to report progress, risks, adoption, and measurable outcomes.
• Bachelor’s degree in computer science, Engineering, Information Systems, or related field, or equivalent practical experience.

Good-to-Have Skills

• Performance, Accessibility, Visual, Mobile, or Contract Testing.
• Selenium Grid or other distributed execution approaches.
• Experience establishing an Automation CoE / Community of Practice.
• Experience with AI prompting, AI-driven QA solutions/test agents, and emerging AI capabilities.
• Experience translating emerging automation and AI capabilities into engineering standards.
• Experience partnering with QA leadership on capability priorities, investment, staffing, governance, and success metrics.