HHiring Reality
← Domino Data Lab

Staff Performance Quality Engineer

Domino Data Lab
Location
Remote US
Posted
17 days ago
Department
Engineering
What they actually want (must-haves)
  • 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 the job really is

As a Staff Performance Quality Engineer at Domino, you will take ownership of Tempest, the company's scale and reliability platform, ensuring its reliability and alignment with infrastructure needs. Your role involves diagnosing performance bottlenecks, enhancing observability, and collaborating with platform teams to implement effective solutions. You will also be responsible for operationalizing scale testing on cloud platforms and building infrastructure automation to support growth.

Benefits
  • Equity
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • Medical, dental, and vision benefits
  • Wellness stipends
Things to weigh
  • No specific mention of the technology stack beyond Kubernetes and observability tools
  • The role requires a strong sense of ownership and self-direction in a remote environment
  • The salary range is provided but may be narrowed based on various factors during the interview process
Job score3.2/5
Benefits3/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

Applying to Domino Data Lab?

See how your résumé matches this role — and tailor it from what actually gets interviews.