Job Description

Who we are At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. 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 over a decade but are still a small team operating with the spirit of a startup. 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

domino. ai What we are building The Automation Team at Domino acts as a force multiplier for engineering, building the tools and systems that enable teams to ship code confidently and consistently. A core part of this mission is Tempest, an in-house platform that orchestrates realistic, long-duration workloads against live Kubernetes clusters and validates the results against real observability data. Today, when scale testing surfaces a bottleneck, a resource misconfiguration, or a regression in system behavior, the team can identify and report the issue — but we need someone who can take the next step: profiling services, tracing root causes through Prometheus and New Relic data, and partnering with platform engineers to drive durable fixes. Focused on iteration and continuous improvement, the team looks for targeted enhancements that create outsized impact, and this role will close the gap between detection and resolution at the infrastructure level.

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