Staff Performance Quality Engineer

Domino Data Lab • San Francisco, CA

22h • Remote

About The Position

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Automation Team at Domino acts as a force multiplier for engineering, building the tools and systems that enable teams to ship code confidently and consistently. Focused on iteration and continuous improvement, the team looks for targeted enhancements that can create outsized impact across the organization. They are responsible for developing and maintaining the frameworks and tooling that empower developers and Quality Engineers to create meaningful, actionable end-to-end tests for their features. By leveraging Domino’s own platform to build powerful visualizations and streamline workflows, the team helps accelerate issue identification and resolution, ultimately improving product quality and delivery speed.

Requirements

• Experience owning or extending complex automation platforms (e.g., performance/load testing, end-to-end frameworks, CI systems)
• Strong Python skills and the ability to work effectively in an automation-heavy codebase
• Hands-on experience with distributed systems, reliability engineering, and scaling cloud-based infrastructure
• Familiarity with Kubernetes and modern cloud-native tooling
• Demonstrated ability to design reliable, multi-stage test automation systems that produce actionable results
• Clear ownership mindset. Ability to be self-directed, accountable, and able to communicate priorities and status effectively

Responsibilities

• 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
• Deliver accurate, data-driven sizing recommendations for customer-facing documentation based on rigorous empirical testing
• Dramatically improve validation and reporting within scale testing by introducing repeatable, automated validation criteria that reduce manual diagnostics while increasing confidence in results
• Establish and operationalize scale testing on cloud platforms, ensuring appropriate sizing and configuration guidance for this increasingly divergent product line
• Partner with platform teams to enable effective scale testing across additional cloud providers, helping position Domino for future multi-cloud success
• Increase the efficiency and leverage of a small team by building automation that scales operationally as the product and customer base grow

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed