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 Data Platform group at Domino is responsible for the foundational systems that power how data and AI assets are accessed, tracked, and managed across the entire product. Our mission is to make working with data seamless for data scientists and AI practitioners—giving them fast, reliable, and consistent access to the information they need while abstracting away underlying infrastructure complexity.
We build the integrations, pipelines, and platform abstractions that connect Domino to the diverse systems and data sources our customers rely on. We aim to ensure that users can explore datasets, train models, and build AI workflows without worrying about how data is moved, stored, or governed behind the scenes.
A major part of this work includes strengthening Domino’s governance capabilities—not just for datasets, but for models, experiments, apps, environments, and other key artifacts. By delivering clearer lineage, richer metadata, standardized access patterns, and built-in safeguards, we help enterprises develop and deploy AI responsibly, safely, and at scale.
Together, our teams are building a modern, cloud-portable data and governance platform that accelerates innovation, improves reliability, and provides the trusted foundation organizations depend on to build mission-critical AI systems.
What your impact will be
In your first year, you will:
- Build and enhance foundational Data Platform and Governance capabilities that improve how users access, track, and manage data and AI assets across Domino
- Contribute to and extend the open-source technologies that underpin Domino’s data and metadata systems
- Develop clear, thoughtful technical designs and effectively communicate architectural decisions to engineers, product managers, and other stakeholders
- Raise the quality bar across the codebase through design reviews, code reviews, and mentorship of fellow engineers
- Partner closely with product managers to shape requirements, plan work, and deliver well-scoped solutions on time with high technical integrity
What we look for in this role
- Extensive backend engineering experience (typically 10+ years), with a strong foundation in distributed systems, data-intensive applications, or event-driven architectures (e.g., Spark, Kafka, Hadoop, Flink, etc.)
- Strong API design skills, including experience building and evolving REST, gRPC, GraphQL, or similar interfaces used across multiple teams or products
- Proficiency in one or more backend languages such as Scala, Go, Java, or Python, with a track record of delivering high-quality, high-performance services in production
- Hands-on experience with cloud-native development, including Docker, Kubernetes, CI/CD pipelines, and deploying/operating services in cloud environments
- Deep understanding of system design and architecture, with an ability to break down complex problems and design scalable, maintainable solutions
- Experience building production-grade systems (ideally in Scala or Go) used by internal or external customers
- Familiarity with service-oriented or microservices architectures, with the ability to design modular, reliable services that integrate cleanly with larger platforms
- Strong problem-solving skills, comfort operating in a fast-moving environment, and the ability to navigate ambiguity with sound technical judgment
- A collaborative and dependable teammate, capable of driving work independently while contributing positively to team culture and engineering excellence
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.
