Staff Performance Quality Engineer
Own and evolve a scale and reliability platform, diagnosing distributed-system performance issues, improving observability, and automating cloud-based testing. The role requires staff-level infrastructure or SRE experience, strong Python skills, Kubernetes expertise, and hands-on performance troubleshooting.
About the job
Responsibilities
- 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 resolve performance bottlenecks and resource misconfigurations identified through scale testing, partnering with platform and infrastructure teams to ship fixes.
- Deliver data-driven sizing recommendations for customer-facing documentation using empirical testing across deployment sizes.
- Improve Prometheus and New Relic instrumentation to strengthen observability and accelerate root-cause analysis during and after multi-day load tests.
- Establish and operationalize scale testing on cloud platforms, including sizing and configuration guidance.
- Partner with platform teams to enable scale and reliability testing across additional cloud providers.
- Build infrastructure automation that improves team efficiency and scales with product and customer growth.
Requirements
- 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 experience working in large, modular codebases spanning orchestration, infrastructure automation, and systems integration.
- Experience with observability stacks such as Prometheus, Grafana, New Relic, or similar tools, including writing queries, building dashboards, and diagnosing systems-level performance and reliability issues.
- Ability to profile services, identify resource bottlenecks, and work with engineering teams to deliver durable fixes.
- Familiarity with performance and load-testing methodologies such as Locust, k6, or similar tools.
- Strong ownership, communication, self-direction, and accountability in a remote, asynchronous environment.
Compensation
- Annual US base salary: $185,000–$210,000 USD.
- Benefits may include equity, company bonus, 401(k), medical, dental, vision, and wellness stipends.
Skills
Kubernetes, Python, Prometheus, Grafana, New Relic, Locust, K6, Distributed Systems, Load Testing, Infrastructure Automation, Cloud Platforms, SRE
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