Infrastructure Ops Engineer
Baseten · San Francisco, CA · G&A
About this role
Baseten is hiring a mid-level Infrastructure Engineer in the software engineering function based in San Francisco, CA. The posting calls out experience with Kubernetes, DevOps, Machine Learning, Spark. Compensation is listed at $120,000–$160,000 per year.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- G&A
- Posted
- Mar 10, 2026
More roles at Baseten
Job description
from Baseten careersABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Infrastructure Ops Engineer at Baseten, you are the operational engine of our global infrastructure. You will sit at the intersection of technical customer success and infrastructure engineering, partnering closely with our SRE and FDE teams to execute the complex hardware lifecycles that power our fleet
This role is designed for high-energy, detail-oriented individuals who thrive on technical coordination and operational excellence. You aren't just managing clusters; you are acting as the technical glue between our customers' needs and our hardware reality, ensuring that high-level capacity strategies are translated into boots-on-the-ground results.
While you will be hands-on with Kubernetes and cloud-native tools, your success is measured by your ability to project-manage the resolution of capacity puzzles, ensuring our platform remains reliable, observable, and ready for the next massive AI deployment.