Staff Performance Quality Engineer

🕒 February 19

🇺🇸 United States – Remote

💵 $185k - $210k / year

⏰ Full Time

🔴 Lead

🔧 QA Engineer (Quality Assurance)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 43%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Domino Data Lab

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

Artificial Intelligence • Enterprise • SaaS

Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.

📋 Description

• Serve as technical owner of Tempest, Domino's scale and reliability platform • Diagnose and drive resolution of performance bottlenecks and resource misconfigurations surfaced by scale testing • Partner directly with platform and infrastructure teams to ship durable fixes • Deliver data-driven sizing recommendations for customer-facing documentation based on empirical testing across deployment sizes • Improve Prometheus and New Relic instrumentation for multi-day load runs • Establish and operationalize scale testing on cloud platforms • Enable scale and reliability testing across additional cloud providers • Build infrastructure automation to increase team efficiency as the product and customer base grow

🎯 Requirements

• Background in SRE, platform engineering, or infrastructure • Hands-on experience operating and troubleshooting distributed systems in production Kubernetes environments • Strong proficiency in Python • Comfort working in a large, modular codebase spanning orchestration, infrastructure automation, and systems integration • Experience with observability stacks such as Prometheus, Grafana, or New Relic • Ability to write queries, build dashboards, and use metrics to diagnose performance and reliability issues • Experience profiling services, identifying resource bottlenecks, and working with engineering teams to ship durable fixes • Familiarity with performance and load testing methodologies such as Locust or k6 • Self-directed, accountable, and able to communicate priorities and status effectively in a remote, async environment

🏖️ Benefits

• Equity • Company bonus or sales commissions/bonuses • 401(k) plan • Medical, dental, and vision benefits • Wellness stipends