Lead and mentor a team of SDETs and automation engineers, setting clear standards for technical excellence and delivery
Drive the strategy and implementation of AI-powered and agentic automation solutions to improve defect detection, test generation, test maintenance, and deployment validation
Evaluate and integrate emerging AI tooling into the quality engineering ecosystem, ensuring scalable, secure, and measurable impact on release confidence and automation efficiency
Lead and monitor reduction of change failure rates through improved test architecture, release validation, and deployment safeguards
Expand and optimize automated test coverage across UI, API, integration, and backend systems
Partner with cross-functional stakeholders to proactively identify risk and improve release stability
Champion continuous improvement through root cause analysis, defect trend evaluation, and performance monitoring
Remain hands-on when necessary, reviewing automation design, validating technical approaches, and guiding architectural decisions
Drive continuous improvement by identifying gaps in processes, tooling, and test coverage

Proven experience leading quality or automation teams in a fast-paced engineering environment
5+ years of managing distributed or remote quality teams
10+ years of hands-on automation development experience
Demonstrated ability to influence cross-functional teams and senior stakeholders
Strong analytical mindset with the ability to translate quality metrics into business outcomes
Effective communicator who can simplify complex technical topics for executive audiences
Practical experience designing or implementing AI-driven automation solutions, including intelligent test generation, self-healing frameworks, or agent-based validation systems
Strong understanding of how large language models and agentic workflows can be leveraged within CI/CD pipelines to enhance quality signal, coverage optimization, and risk detection

Quality Engineering Manager

Key skills