Description

Key Skills: AI-Driven Quality Engineering, SDLC Pipeline Management, CI/CD, Performance Testing, Test Automation, Agile Methodologies, Leadership Management, Software Engineering, Machine Learning, Quality Assurance

Good to Have Skills: Experience with synthetic data generation, self-healing automation frameworks, Scrum and Kanban methodologies, modern software architecture patterns, functional and non-functional testing strategies, risk assessment and compliance management, budget planning and team development.

Roles & Responsibilities:

• Lead an AI-first testing strategy to transform quality engineering across applications and platforms.
• Leverage artificial intelligence to generate test cases, predict risks, accelerate defect detection, and enable synthetic data generation for comprehensive testing.
• Implement AI-powered solutions and automation for functional, integration, smoke, and performance testing, as well as self-healing automation.
• Oversee the end-to-end Software Development Lifecycle implementing best practices for agile development, continuous integration, and continuous delivery.
• Design, build, and manage a highly automated testing pipeline that enables rapid, high-quality releases.
• Exercise full management responsibility for multiple teams, including management of people, budget, and planning.
• Foster a culture of innovation, collaboration, and continuous improvement across the engineering organization.
• Lead direct team of Quality engineers that create AI agents, automation and practices to enable agile squads.
• Drive compliance with applicable laws, rules, and regulations while adhering to policy and applying sound ethical judgment.
• Act as a pragmatic problem solver, applying judgment and experience to balance trade-offs between competing interests.

Experience Required: 15+ years of relevant experience, with significant time in product line management, e-commerce, or strategic planning role. Proven track record of managing the full SDLC for large-scale, complex software projects and succeeding in delivering high-quality technology products/services in a high-growth environment where priorities shift rapidly.

Education: Bachelor's/University degree required. Master's degree preferred

Key Skills

Education

Any Graduate