AI Quality Engineering Lead

AI & Agentic Quality Engineering

Lead adoption of AI-assisted testing tools and agentic engineering workflows.

Design and implement autonomous and semi-autonomous testing agents.

Develop best practices for AI-generated testing, intelligent validation, and automated quality analysis.

Enable engineering teams to embed AI-driven quality practices into day-to-day delivery.

Platform & Release Quality

Own release quality strategy across products and services.

Build scalable end-to-end, integration, and regression testing approaches.

Improve release confidence through automation, telemetry, and quality intelligence.

Performance & Scalability Testing

Define and execute performance, load, stress, and scalability testing strategies.

Validate reliability across distributed and high-volume environments.

Identify bottlenecks and support engineering teams in improving platform resilience.

Quality Engineering Enablement

Establish frameworks and standards for modern quality engineering.

Partner with development teams to strengthen automation and quality ownership.

Mentor engineers in automation, AI-assisted testing, and agentic engineering practices.

Metrics & Quality Intelligence

Define meaningful quality metrics aligned to operational and customer outcomes.

Build dashboards focused on release health, reliability, and platform performance.

Use data-driven insights to identify risks and drive continuous improvement.