Lead QA Engineer

PlaySimple Games; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

PlaySimple Games is seeking a Lead Quality Assurance Engineer to define the quality vision and roadmap across teams. You will lead large-scale QA initiatives, mentor engineers, and drive AI-driven testing and automation to raise quality across products.

You will balance high quality with business priorities, manage release governance, and build a high-performing QA organization through coaching, capacity planning, and strategic hiring. Join a fast-growing gaming studio focused on excellence.

Qualifications

• 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.

Responsibilities

• 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.

Skills

QA Leadership

Agile Delivery

Mentoring

Test Automation

AI in Testing

Stakeholder Management

Quality Strategy

Job description

Job Description:

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 new tools, workflows, and industry practices.


• Passion for continuously evolving the QA function through innovation.