Staff Software Engineer, Domino Data Lab
Data Platform
$225-250k
Enterprise AI platform
Be an early applicant
Enterprise AI platform
201-500 employees
Be an early applicant
$225-250k
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
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