At Centaur Labs, we label data at scale to enable breakthroughs in medical AI. Our novel approach uses collective intelligence to aggregate medical opinions from experts and students all over the world. Our labeling customers include leading AI startups and prominent research organizations. We are a small, tight-knit team headquartered in Boston, and we're funded by Y Combinator, Accel, and GFC.
Centaur Overview:
Centaur Labs is the modern data labeling solution driving AI innovation across the healthcare industry. From agile startups and cutting-edge research labs to global pharmaceutical giants and Big Tech, we empower the entire spectrum of AI. Our expert crowd of 50k+ labelers, combined with our gamified DiagnosUs app for motivation and quality control, ensures scalable, high-quality labels are delivered in as little as 24 hours. We are backed by leading investors including Y Combinator, Matrix, and Accel, and recently closed a Series B led by SignalFire.
**Position Overview:**
We are seeking a motivated and experienced DevOps Engineer to join our team and play a key role in scaling our platform. This position focuses on security, AWS cloud systems, automation, and ensuring our infrastructure supports the demands of a rapidly evolving business. The ideal candidate will have a foundation in Infrastructure as Code (IaC), CI/CD pipelines, and a passion for continuous learning and improvement.
Responsibilities:
Qualifications:
Preferred Skills:
Why join Centaur?
This is an excellent opportunity for a DevOps professional to contribute to a growing company by building scalable, efficient systems and processes. If you are eager to take on new challenges and help shape our platform as we expand, we’d love to hear from you!
We use React.js and Swift on the frontend, and Python and Swift (Vapor) on the backend. Our data store is PostgreSQL, and we're hosted on AWS.
Centaur faces a wide variety of difficult technical problems, from efficiently serving millions of images and videos to our users, to ensuring our platform is secure and our valuable data sets remain private, to performing complex analysis on our users' performance and building machine learning models to take our decision making capabilities to the next level.
fulltimeBoston, MA, US / Remote (US)Devops$110K - $160K3+ years
fulltimeUS / Remote (US)$125K - $145K3+ years