Staff Performance Quality Engineer

Join Domino, a leading data science platform, as a Staff Platform Reliability Engineer. In this role, you will be part of the Automation Team, responsible for building tools and systems that enable teams to ship code confidently and consistently. You will serve as the technical owner of Tempest, Domino's scale testing platform, and work on evolving and modernizing the scale testing infrastructure. You will also partner with platform teams to enable effective scale testing across additional cloud providers. This position offers a range of benefits, including premium medical, dental, and vision insurance, commuter benefits, flexible paid time off, and annual education reimbursement.

• 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, delivering accurate, data-driven sizing recommendations.
• Establish and operationalize scale testing on cloud platforms, ensuring appropriate sizing and configuration guidance for this increasingly divergent product line.

• 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