• Jobs
  • Startups
  • Hire
LoginSign up

Role description

Staff Platform Reliability Engineer

Domino Data Lab logoDomino Data Lab
TypeFull-time
SeniorityStaff / Lead
Salary$185,000–$230,000
LocationNew York, NY
Posted9/5/2026
Engineering
  • 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

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- Strong proficiency in Python and comfort working in a large, modular codebase that spans orchestration, infrastructure automation, and systems integration
  • Familiarity with performance and load testing methodologies (e.g., Locust, k6, or similar) as part of a broader infrastructure or reliability practice
  • Demonstrated ability to go beyond detection to resolution: profiling services, identifying resource bottlenecks, and working with engineering teams to ship durable fixes
  • 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
  • Background in SRE, platform engineering, or infrastructure with hands-on experience operating and troubleshooting distributed systems in production Kubernetes environments
  • Clear ownership mindset — self-directed, accountable, and able to communicate priorities and status effectively in a remote, async environment

Relevant archetypes

Apply on careerpuck.com
Save

Company info

Domino Data Lab logo

Domino Data Lab

The Enterprise AI platform powering over 20% of the Fortune 100

Domino Data Lab partners with the world's most regulated enterprises as they build, scale, and govern AI-powered applications. From statistical computing to agentic AI, organizations use Domino's AI platform to develop new therapies, protect citizens, and secure financial markets — under the most complex regulatory requirements. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, UBS, and other leading investors. Learn more at domino.ai.

Private companyIn the news
Founded2013
HQSan Francisco, United States
Size201–500 employees
Unlock human wisdom
ThesisTermsPrivacy
Industry
Software Development
Funding
  • Funding round · Aug 21, 2025
  • Series F · Jun 15, 2022
Tech stackanaplan, bridge, sage-intacct, elasticsearch, ml-flow, insideview, drupal, tableau, scaleai, slack
News
  • Scaling Regulated AI with Domino on Amazon FSx for NetApp ONTAP
  • Domino Appoints Thomas Robinson CEO to Lead Company into AI Solutions Era

Claim domino.ai

Work at domino.ai? Sign in to claim this org and manage its profile.

© 2026 Saywise Inc.