Domino Data Lab is an enterprise MLOps and data science platform for building, deploying, monitoring, and governing machine learning models, with integrations for Snowflake, Kubernetes, Spark, and NVIDIA.
<p><strong><span style="text-decoration: underline;">Who we are</span></strong></p> <p>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</p> <p><strong><span style="text-decoration: underline;">What we are building</span></strong></p> <p>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.</p> <p><strong><span style="text-decoration: underline;">What your impact will be</span></strong></p> <p>In your first year, you will:</p> <ul> <li>Pick up the existing automation framework, extend it to under-covered surfaces, and harden it for a higher-velocity merge environment</li> <li>Push automated coverage on critical paths (policy gates, audit trail, RBAC, lineage, data connectors) toward 100%, and hold the line as merge velocity climbs</li> <li>Drive customer-reported defects on compliance-critical surfaces toward zero</li> <li>Build an LLM-assisted test pipeline that matches AI-accelerated development with AI-accelerated testing</li> <li>Make quality posture visible to leadership through a living risk and coverage map both teams own</li> </ul> <p><strong><span style="text-decoration: underline;">What we look for in this role</span></strong></p> <p>Must-Have Experience</p> <ul> <li>Owned a complex automation platform: end-to-end frameworks, CI systems, multi-stage automation</li> <li>Kubernetes and cloud-native fluency at scale (AWS, Azure, and/or GCP)</li> <li>Shipped compliance-critical software where audit trail, RBAC, or governance correctness affected customer audits (pharma, finance, govtech, healthtech, MLOps)</li> <li>Senior-level influence across multiple teams without direct authority</li> <li>Knowledge of cucu library is a plus</li> </ul> <p>Bonus Points</p> <ul> <li>Contract testing for integration-heavy products with connector/plugin matrices</li> <li>Stateful workflow / approval-flow testing (state machines, gated transitions, policy engines)</li> <li>LLM-augmented QA: test generation, triage, or fuzzing with AI</li> <li>MLOps or data-platform domain background (model registries, lineage, MLflow, data lake/warehouse); Scala or Go a plus</li> </ul> <p><strong><span style="text-decoration: underline;">What we value</span></strong></p> <ul> <li>We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success</li> <li>We believe in individuals who seek truth and speak the truth and can be their whole selves at work</li> <li>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</li> <li>We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company</li> <li>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> </ul> <hr> <p>#LI-Remote</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>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.</em></p></div><div class="title">Compensation Range </div><div class="pay-range"><span>$145,000</span><span class="divider">—</span><span>$175,000 USD</span></div></div></div>