Job description

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 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. Compensation Range $185,000 — $210,000 USD

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aikubernetespythongo

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness