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As a Lead Quality Assurance Engineer, you will define the quality vision, strategy, and roadmap across teams. You will lead large-scale quality initiatives including the integration of AI-driven testing and automation capabilities mentor engineers, and ensure that quality remains a core engineering principle across the organization.

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 current tools, workflows, and industry practices.

● Passion for continuously evolving the QA function through innovation.

📌 Lead QA Engineer (Bengaluru)
🏢 PlaySimple Games
📍 Bengaluru