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Staff Software Engineer, Governance

Domino Data Lab
CompanyDomino Data Lab
CategoryEngineering
LocationRemote US
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted26 Jan 2026
Last verified3 Aug 2026
SourceEmployer career page (greenhouse)
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Description
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 The Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to  support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely. The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model development and analytics work. Our mission is to make access to data seamless and comprehensive such that data scientists can incorporate data into their workflows without worrying about how. We take satisfaction in making sure that data scientists can derive insights and produce predictions knowing that they have the full availability of data without worrying about engineering complexity. The two teams have been working interchangeably and smoothly to fulfill their respective missions. What your impact will be In your first year, you will: Design and develop software solutions that improve Domino’s user experience with regards to the new, highly-sought Governance feature Extend and contribute enhancements to the open-source software powering Domino Create technical designs and clearly communicate them to cross-functional stakeholders Enable fellow engineers to achieve high quality through design and code reviews Work with product managers to ensure solutions are well planned and delivered on-time What we look for in this role 5+ years of experience in backend development, especially in distributed computing with Hadoop, Spark, Kafka Experience in API design and development, e.g. RESTful APIs, GraphQL and similar, with a focus on integrating backend and front-end systems Strong proficiency in Java, Scala, Go, or Python, dedicated to building high-performance backend solutions Skilled in enhancing backend performance in cloud environments, well-versed in Docker, Kubernetes, and CI/CD practices. Experience building production grade software, preferably in Scala or Go. Comfortable in dynamic, fast-paced settings, possessing strong problem-solving skills and a comprehensive understanding of system design and architecture Strong familiarity with service-oriented architecture (SOA), adept at designing and developing modular, maintainable services for seamless system integration Ability to work independently and be a reliable teammate 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 o
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