Quality Engineering Team Lead

Domino Data Lab is a software company that helps AI-driven organizations build and operate advanced data science and AI solutions at scale. The Quality Engineering Team Lead will own and enhance CI/CD systems, lead the adoption of standardized QE practices, and mentor a growing team to improve quality across the engineering organization.

Responsibilities:

• Own our CI/CD systems end-to-end: audit the current state, redesign where needed, and drive measurable improvements in pipeline reliability, build/test cycle time, and overall developer experience within the first six months
• Lead the adoption of standardized QE practices and testing frameworks across engineering teams, reducing inconsistency in coverage and establishing a shared standard for quality across the organization within your first year
• Drive increased automation of QE processes using AI-assisted tooling (such as Claude, Codex, or Cursor), accelerating development velocity while maintaining rigorous standards
• Lead, mentor, and grow a team of 1–3 Quality Engineers:  supporting their technical development, career growth, and day-to-day effectiveness, with a goal of visibly improving team velocity and reducing defect escape rates
• Partner closely with Engineering and Product to shift quality earlier in the development lifecycle, building a culture where defect prevention is prioritized over defect detection
• Establish structured knowledge sharing and process documentation that enables the team to scale its impact beyond its headcount

Requirements:

• Proven track record owning and operating CI/CD systems at scale using tools such as CircleCI, GitHub Actions, or equivalent. This includes hands-on experience redesigning pipelines for reliability and speed
• Deep expertise in CI/CD tooling and infrastructure, with the ability to independently evaluate, modernize, and scale systems to meet evolving engineering needs
• Strong proficiency in test automation frameworks (such as Playwright, Selenium, or equivalent) paired with a clear, defensible philosophy around test strategy and coverage
• Solid background in Quality Engineering or Software Development in Test (SDET), including experience designing and implementing test automation frameworks from the ground up
• Demonstrated use of AI-assisted coding tools (e.g., Claude, Codex, Cursor) to automate testing practices and accelerate engineering workflows
• Excellent cross-functional communication and collaboration skills; you are equally comfortable working as an individual contributor and stepping into a leadership role as the quality voice across the engineering
• Prior experience leading or mentoring a small engineering team, even informally