Staff Platform Reliability Engineer, Domino Data Lab
$185-230k
Enterprise AI platform
Open for applications
Enterprise AI platform
201-500 employees
Open for applications
$185-230k
201-500 employees
Company mission
To unleash AI to address the world's most important challenges.
Role
Who you are
- Background in SRE, platform engineering, or infrastructure with hands-on experience operating and troubleshooting distributed systems in production Kubernetes environments
- Strong proficiency in Python and comfort working in a large, modular codebase that spans orchestration, infrastructure automation, and systems integration
- Experience with observability stacks (Prometheus, Grafana, New Relic, or similar) — writing queries, building dashboards, and using metrics to diagnose performance and reliability issues at the systems level
- Demonstrated ability to go beyond detection to resolution: profiling services, identifying resource bottlenecks, and working with engineering teams to ship durable fixes
- Familiarity with performance and load testing methodologies (e.g., Locust, k6, or similar) as part of a broader infrastructure or reliability practice
- Clear ownership mindset — self-directed, accountable, and able to communicate priorities and status effectively in a remote, async environment
What the job involves
- 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
- Focused on iteration and continuous improvement, the team looks for targeted enhancements that can create outsized impact across the organization
- They are responsible for developing and maintaining the frameworks and tooling that empower developers and Quality Engineers to create meaningful, actionable end-to-end tests for their features
- By leveraging Domino’s own platform to build powerful visualizations and streamline workflows, the team helps accelerate issue identification and resolution, ultimately improving product quality and delivery speed
- In your first year, you will:
- Serve as the technical owner of Tempest, Domino’s scale testing platform tools, ensuring they remain reliable, extensible, and aligned with evolving product needs
- Evolve and modernize scale testing infrastructure to support continued growth and increasing product complexity
- Deliver accurate, data-driven sizing recommendations for customer-facing documentation based on rigorous empirical testing
- Dramatically improve validation and reporting within scale testing by introducing repeatable, automated validation criteria that reduce manual diagnostics while increasing confidence in results
- Establish and operationalize scale testing on cloud platforms, ensuring appropriate sizing and configuration guidance for this increasingly divergent product line
- Partner with platform teams to enable effective scale testing across additional cloud providers, helping position Domino for future multi-cloud success
- Increase the efficiency and leverage of a small team by building automation that scales operationally as the product and customer base grow
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 he end of 2026, Domino Data Lab is 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.
Thomas Robinson
(COO)Thomas joined Domino in 2016 as CPO, moving into the role of VP of Strategi Partnerships & Corporate Development in 2020 and then into the role of COO in 2022. Previously, he spent 10 years at Bridgewater Associated in various roles, including Director of Engineer and GM of Tech Talent Transformation.
Tom Gleason
(CFO)Prior to joining Domino in 2021, Tom was a VP of Finance & Strategy at Avalara. Before that, he spent 9 years at Tableau Software in various roles, including Director of Financial Planning & Analysis and VP of Finance.
Thomas Been
(CMO)Prior to joining Domino in 2023, Thomas was a CMO at DataStax and Druva. He also spent nearly 15 years at TIBCO Software in various roles, including VP of Product Management and CMO.
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