Lead QA Engineer

Job Description:  

What’s required of you  

●      10+ years of software quality assurance experience, with a proven track record of leading, mentoring, and developing QA teams.                                             

●     Strong understanding of software testing methodologies, QA principles, release management, and cross-functional delivery in Agile environments.

●      Demonstrated experience in people management, including performance management, coaching team members, supporting career growth, and building high-performing QA organizations.

●      Pragmatic decision-making ability to balance high-quality standards, business priorities, and delivery timelines while making informed, risk-based decisions.

●      Experience driving test automation, QA tooling, and innovation, including evaluating and integrating AI-assisted testing practices to improve team velocity and efficiency.

●      Strong communication and stakeholder management skills, with the proven ability to influence cross-functional decisions through data, metrics, and clear quality insights.

●      Proven experience in QA planning, resource allocation, and capacity management, with a track record of scaling quality frameworks across multiple teams.

What we are looking for  

●      Define and drive the overall QA strategy, roadmap, and quality vision across multiple teams and products.

●      Own QA planning, including sprint POC allocation, workload balancing, and capacity management.

●      Establish quality standards, testing processes, and release-governance mechanisms across teams.

●      Drive quality metrics, dashboards, trend analysis, and leadership-level reporting.

●      Lead initiatives around automation frameworks, QA tooling, productivity improvements, and AI adoption.

●      Build, mentor, and develop high-performing QA teams through coaching, feedback, and succession planning.

●      Define hiring frameworks, participate in interviews, and establish onboarding and capability-development programs.

●      Partner with engineering, product, and business teams to improve delivery, quality, and operational excellence.

AI Skills

●      Deep understanding of emerging AI capabilities in software testing.

●      Experience defining AI-driven quality strategies.

●      Ability to evaluate new tools, workflows, and industry practices.

●      Passion for continuously evolving the QA function through innovation.