At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
What we are building The Quality team’s mission at Domino Data Lab is to deliver quality releases of Domino MLOps platform, which provides an end-to-end platform for data scientists to develop, train, deploy and monitor ML models, at enterprise scale.
What your impact will be
Ensure scalability of the platform
Quantify performance of new features, services, and user workflows
Speed up release qualification time by automating performance tests
Own the reduction of new scale/performance bugs from support/field in our product areas
What we look for in this role
Experience with performance, scale or load test evaluation of distributed systems
Experience with automation frameworks for load testing, or tooling to simulate user load
Experience with collection and analysis of performance metrics
Ability to reproduce customer workloads at scale
Ability to evaluate bottlenecks and own suggestions of remedy
Exposure to cloud-based deployments (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
Scripting (we use Python)
6+ years of experience
What we value
We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
We believe in individuals who seek truth and speak the truth and can be their whole selves at work.
We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything.
We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply