Kubernetes · Docker · Python · GCP · Terraform
ABOUT THE ROLE
Join a small platform team at an AI company building document processing systems. You will strengthen the core platform that runs customer workloads, with a focus on performance, reliability, and cost efficiency.
WHAT YOU'LL DO
- Own and improve the platform that runs document processing jobs, ensuring speed, reliability, and cost efficiency as usage grows.
- Partner with machine learning engineers to serve in-house models efficiently and integrate them into production workflows.
- Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
- Improve distributed systems by addressing latency, reliability, and scaling challenges.
- Participate in an on-call rotation and take end-to-end ownership of platform health.
WHAT WE'RE LOOKING FOR
- At least 5 years of platform or backend engineering experience, including distributed systems work.
- Experience building and scaling core infrastructure, task orchestration, and reliable platforms.
- Application-level engineering experience in addition to infrastructure work.
- Proficiency in Python, or deep Go or Rust experience and willingness to work in Python.
- Experience with on-call operations, cloud infrastructure, and optimizing model serving.
- Background in a startup or demonstrated senior-level growth and ownership in a larger organization.
COMPENSATION & BENEFITS
Base salary: $220,000 to $320,000 annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California, United States.