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Dominodatalab
Dominodatalab

Quality Engineering Team Lead

qafull-timeRemote US
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it.

What we are building

Our Quality Engineering team is at the center of how we ship software with speed and confidence. We're a small, highly focused group of engineers on a mission to raise the bar for quality across the entire engineering organization — not by slowing things down, but by embedding smart, scalable practices that make fast delivery more reliable. From CI/CD infrastructure to automated testing frameworks, we build the systems and standards that the rest of engineering depends on to move quickly without breaking things.

We're investing in modernizing our pipelines, expanding our automation coverage, and evolving our culture around quality ownership. The person in this role will shape what that evolution looks like by setting the technical direction, mentoring a growing team, and acting as the connective tissue between Quality Engineering and the broader product and engineering organization.

What your impact will be

In your first year, you will:

  • 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

What we look for in this role

  • 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
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Quality Engineering Team Lead at Dominodatalab — Remote