Staff Performance Quality Engineer

About the Role

Domino builds software that helps the largest, AI-driven organizations develop and operate advanced data science and AI solutions at scale. The Automation Team acts as a force multiplier for engineering, building tools and systems that enable teams to ship code confidently and consistently.

What We Are Building

Tempest, an in-house platform that orchestrates realistic, long-duration workloads against live Kubernetes clusters and validates results against real observability data. When scale testing surfaces bottlenecks, resource misconfigurations, or regressions, this role will take the next step: profiling services, tracing root causes through Prometheus and New Relic data, and partnering with platform engineers to drive durable fixes.

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

• 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
• 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
• 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

Pay

The annual US base salary range for this role is $185,000—$210,000 USD. Additional benefits may include equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.