or apply directly on Domino Data Lab's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 48 days Domino Data Lab's roles stay open a median of 56 days
- Reposted
- No
- Salary listed
- No 0% of Domino Data Lab's roles list one
- Ghost-job risk at Domino Data Lab
- high 18 stale, 0 reposted of 24 open
- Hiring momentum
- 33 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Domino Data Lab's own greenhouse board since 2026-08-03. Full hiring picture for Domino Data Lab.
About this role
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
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Domino Data Lab as an employer.
What you need
- 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 you get
- Equity
- Company bonus or sales commissions/bonuses
- 401(k) plan
- Medical, dental, and vision benefits
- Wellness stipends
Worth weighing
- 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
Summarised from Domino Data Lab's posting. Read the full original.
Listed by Domino Data Lab on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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