About the Role

Join a platform engineering team at an AI company building document processing technology. You will strengthen the systems that run customer workloads, helping ensure they are reliable, efficient, and ready to scale.

What You'll Do

Own and improve the platform that runs document processing jobs, with a focus on speed, reliability, and cost efficiency.

Partner with machine learning teams to serve in-house models efficiently and integrate them into production pipelines.

Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.

Improve distributed systems by addressing latency, reliability, and scaling challenges as workload volume grows.

Participate in on-call rotations and take end-to-end ownership of platform health.

What We're Looking For

At least 5 years of experience in platform or backend engineering, including work with distributed systems.

Experience building and scaling core infrastructure, task orchestration, and reliable platforms.

Python proficiency, or deep expertise in Go or Rust and willingness to work with Python.

Application-level engineering experience in addition to infrastructure work, and experience with on-call responsibilities.

Experience in startup environments and a track record of owning significant technical work; senior-level experience in larger organizations is also relevant.

Cloud infrastructure and model-serving optimization experience is valuable.

Compensation & Benefits

Base salary range: $220,000 to $320,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.