Role : Lead QA Automation Engineer - Playwright

We are looking for a Lead QA Automation Engineer - Playwright with strong experience in QA Automation / Quality Engineering, automation framework architecture, API automation, CI/CD, cloud and enterprise applications, and modern AI-assisted QA practices.

Key Responsibilities :

- Provide technical leadership across complex QA automation initiatives and multiple applications/teams.

- Design and develop scalable, reusable automation frameworks using Playwright and Selenium.

- Establish reusable libraries, fixtures, utilities, reporting and test-data solutions.

- Architect automation solutions for cloud, distributed and enterprise applications.

- Develop and maintain advanced API automation and backend validation solutions.

- Integrate automated testing into Azure DevOps / CI-CD pipelines.

- Define automation patterns, coding standards, technical standards, review practices and quality gates.

- Drive code reviews, pairing, technical workshops, mentoring and cross-team enablement.

- Assess automation requirements and select fit-for-purpose tools and technologies.

- Create and drive automation adoption roadmaps.

- Evaluate and leverage Generative AI / AI coding assistants for QA activities including test design, code generation, maintenance, test data, defect triage and quality insights.

- Establish appropriate human validation, secure data handling, traceability, maintainability and responsible-use practices for AI-assisted QA.

- Collaborate effectively with onshore, offshore and co-sourced teams.

- Communicate automation progress, risks, adoption and measurable quality outcomes to stakeholders.

- Partner with QA leadership on capability priorities, investment, staffing, governance and success metrics.

Must-Have Skills:

- 7 - 10+ years of QA Automation / Quality Engineering experience.

- Advanced hands-on Playwright and Selenium experience - 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.