Avatar for Domino Data Lab
Unleash the power of AI for sophisticated and regulated enterprises
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • +2

Staff Performance & Reliability Engineer

Reposted: 1 month ago
Hires remotely in
Visa Sponsorship

Not Available

RelocationAllowed
Hiring contact
Amanda Sigmund
Employee
Colorado
image

About the job

Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. 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 over a decade but are still a small team operating with the spirit of a startup. 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 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. A core part of this mission is Tempest, an in-house platform that orchestrates realistic, long-duration workloads against live Kubernetes clusters and validates the results against real observability data. Today, when scale testing surfaces a bottleneck, a resource misconfiguration, or a regression in system behavior, the team can identify and report the issue — but we need someone who can take the next step: profiling services, tracing root causes through Prometheus and New Relic data, and partnering with platform engineers to drive durable fixes. Focused on iteration and continuous improvement, the team looks for targeted enhancements that create outsized impact, and this role will close the gap between detection and resolution at the infrastructure level.

What your impact will be

In your first year, you will:

  • Serve as the technical owner of Tempest, Domino's scale and reliability platform, ensuring it remains reliable, extensible, and aligned with evolving infrastructure needs
  • Diagnose and drive resolution of performance bottlenecks and resource misconfigurations surfaced by scale testing — working directly with platform and infrastructure teams to ship fixes, not just file tickets
  • Deliver accurate, data-driven sizing recommendations for customer-facing documentation based on rigorous empirical testing across deployment sizes
  • Strengthen observability across scale testing by improving Prometheus and New Relic instrumentation, making it faster to pinpoint root causes during and after multi-day load runs
  • 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 and reliability testing across additional cloud providers, helping position Domino for future multi-cloud success
  • Increase the efficiency and leverage of a small team by building infrastructure automation that scales operationally as the product and customer base grow

What we look for in this role

  • 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 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

About the company

Domino Data Lab company logo
Unleash the power of AI for sophisticated and regulated enterprises201-500 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • 4.6
    Highly rated
    Domino Data Lab is highly rated on Glassdoor, with 4.6 out of 5 stars
  • 4.3
    Strong Leadership
    Employees rate Domino Data Lab 4.3/5 on Glassdoor for faith in leadership
Learn more about Domino Data Lab image

Funding

AMOUNT RAISED
$223.6M
FUNDED OVER
7 rounds
Rounds
F
$100000000
Series F - Oct 2021+6

Perks

Healthcare benefits
We provide competitive health benefits including a free option for employees and their families.
Paid Parental Leave
We love kids and even have a Slack channel dedicated to them. New parents will receive 6 weeks of fully paid parental leave.
Annual Education Reimbursement
Growth is a pillar of our culture but we also have a diverse employee population with different learning needs. Thus, we offer an annual educational reimbursement for all employees.
Flexible PTO
We believe it’s important to disconnect.
Meals & Snacks
Our kitchen is full of snacks and enjoy lunch in the SF office 3x a week. Picnics, outings, and happy hours dot our social calendar.
Flexible Work Schedule
We trust our employees to “own the outcome” and get their work done regardless of their work location. Employees and managers determine what makes sense, balancing personal and business needs.
Commuter benefits
Uber, Lyft, Bus, Train. We want to help you in your daily commute.

Founders

Nick Elprin
Co-founder & CPO
San Francisco
image
View the team image

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