Director Quality Engineering

Key Responsibilities

Strategic Leadership

• Provide on-the-ground leadership for all QE teams in Pune, ensuring strong engagement, alignment, and execution.
• Develop and execute a strategy to elevate engineering maturity, strengthen delivery discipline, and scale operational excellence.
• Serve as a key member of the global engineering leadership team, driving alignment across geographies and business units.

• Stakeholder Collaboration Engage with cross-functional teams, including product managers and business leaders, to align technical efforts with company objectives.

AI-Driven Transformation

• Lead adoption and integration of AI, autonomous testing solutions, and agentic workflows to improve efficiency, accuracy, and delivery velocity.
• Champion innovation in automation frameworks, intelligent observability, and predictive analytics across QE.
• Evaluate and drive implementation of advanced tooling and platforms to enhance productivity.

Delivery & Execution

• Oversee roadmap delivery for Platform and Curriculum initiatives, ensuring commitments are met with speed, reliability, and quality.
• Establish strong governance, release management rigor, and continuous improvement practices.
• Partner closely with Product, Architecture, Engineering, and Program teams to ensure seamless end-to-end delivery.
• Risk Management & Problem Solving Identify technical challenges, resolve bottlenecks, and mitigate risks affecting software delivery.

People Leadership

• Lead, mentor, and inspire a team of 60+ QE professionals, including managers and senior managers.
• Build leadership succession, strengthen technical depth, and foster a high-performance culture.
• Drive talent development, hiring strategy, and organizational growth for the Pune engineering hub.

Operational Excellence

• Implement standardized processes, quality metrics, automation strategies, and best practices across teams.
• Drive efficiency improvements and cost optimization without compromising quality.

Required Qualifications

• 15+ years of experience in software quality engineering, with at least 7+ years in leadership roles overseeing QA/QE or Platform Engineering.
• Proven experience managing large engineering teams across geographies, preferably 50+ team members.
• Demonstrated success leading AI/automation initiatives within engineering or quality organizations.
• Deep expertise in modern testing strategies, CI/CD pipelines, cloud-native architectures, and tooling.
• Strong understanding of SDLC, release governance, and large-scale program execution.
• Excellent communication, stakeholder management, and leadership presence.
• Ability to operate in a fast-paced, matrixed global environment.

Preferred Qualifications

• Experience in building or scaling engineering centers of excellence.
• Background in EdTech, SaaS, or large-scale platform development.
• Familiarity with agentic AI systems, LLM-driven testing, or autonomous solutions.