About the Role :

We are seeking a QA Lead with strong experience in manual testing and Python Playwright automation. The ideal candidate will lead end-to-end QA strategy, drive automation initiatives, and ensure high-quality releases across software delivery cycles.

This role requires expertise in multiple testing types, Agile QA processes, and hands-on experience with automation frameworks, API testing, and GenAI-driven QA practices.

The candidate will collaborate closely with engineering, product, and business stakeholders while mentoring team members and driving QA innovation.

Key Responsibilities :

- Own preparation and documentation of test artifacts including Test Plans, Test Strategy, Test Cases, and sign-off reports

- Design and drive comprehensive testing strategies for features, enhancements, and bug fixes

- Lead execution of manual testing phases including functional, regression, exploratory, API, smoke, sanity, and end-to-end testing

- Ensure thorough test coverage for positive, negative, and edge case scenarios

- Oversee test execution, defect logging, and tracking to closure using Jira, GitHub, Azure DevOps, or similar tools

- Work with GitHub and CI/CD tools for quality validation within release cycles

- Champion Agile QA processes and participate in sprint planning, reviews, retrospectives, and daily Scrum

- Drive quality initiatives across scrum teams and collaborate with developers, BAs, and stakeholders

- Mentor junior QA team members and promote QA best practices

- Identify manual processes suitable for automation and increase automation coverage

- Lead automation strategy using Python Playwright, Selenium, or similar frameworks

- Advocate and enable adoption of GenAI tools for QA automation and productivity

- Collaborate to evolve automation and AI/ML practices within QA function

- Contribute to non-functional testing initiatives including performance, security, and accessibility

- Identify, communicate, and mitigate QA risks and quality gaps

- Coordinate with cross-functional teams for acceptance criteria and defect triage

- Present test results, risks, and quality metrics to product and engineering leadership

Technical Skills & Qualifications :

- 6 to 9 years professional experience in software testing/QA with strong manual testing expertise

- Exposure to manufacturing domain testing processes

- Hands-on experience with Jira, GitHub, Azure DevOps (ADO), or similar tools

- Strong experience in creating and maintaining test artifacts

- Good understanding of SDLC, Agile methodology, and QA processes

- Experience in functional, regression, exploratory, API, smoke, sanity, and end-to-end testing

- Hands-on experience in automation frameworks using Python Playwright or Selenium

- Experience building or maintaining automation frameworks

- Hands-on experience with API testing tools such as Postman, Swagger, or REST-assured

- Strong analytical, leadership, and communication skills

- Experience working with CI/CD tools and GitHub

- Awareness of GenAI tools such as GitHub Copilot, OpenAI, or similar for QA automation

Preferred/Good to Have :

- Experience in Agent or Agentic AI testing

- Exposure to performance, security, or accessibility testing tools

- Experience introducing automation or AI-based tooling within teams

- Experience using AI/ML-based tools for test case generation and automation

- Experience in QA innovation and automation strategy implementation