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. For more information, visit www.domino.ai
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.
What your impact will be
In your first year, you will:
- Pick up the existing automation framework, extend it to under-covered surfaces, and harden it for a higher-velocity merge environment
- Push automated coverage on critical paths (policy gates, audit trail, RBAC, lineage, data connectors) toward 100%, and hold the line as merge velocity climbs
- Drive customer-reported defects on compliance-critical surfaces toward zero
- Build an LLM-assisted test pipeline that matches AI-accelerated development with AI-accelerated testing
- Make quality posture visible to leadership through a living risk and coverage map both teams own
What we look for in this role
Must-Have Experience
- Owned a complex automation platform: end-to-end frameworks, CI systems, multi-stage automation
- Kubernetes and cloud-native fluency at scale (AWS, Azure, and/or GCP)
- Shipped compliance-critical software where audit trail, RBAC, or governance correctness affected customer audits (pharma, finance, govtech, healthtech, MLOps)
- Senior-level influence across multiple teams without direct authority
- Knowledge of cucu library is a plus
Bonus Points
- Contract testing for integration-heavy products with connector/plugin matrices
- Stateful workflow / approval-flow testing (state machines, gated transitions, policy engines)
- LLM-augmented QA: test generation, triage, or fuzzing with AI
- MLOps or data-platform domain background (model registries, lineage, MLflow, data lake/warehouse); Scala or Go a plus
What we value
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
#LI-Remote
The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Skills Required
- Experience owning a complex automation platform including CI systems
- Kubernetes and cloud-native experience at scale
- Experience shipping compliance-critical software in relevant industries
- Ability to influence teams without direct authority
- Knowledge of cucu library
What We Do
Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai
Why Work With Us
We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.
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Domino Data Lab Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.



