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Lead Software Engineer, Platform

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Summary

Lead platform engineer at an AI/ML startup, owning and scaling the infrastructure behind document-processing workloads — databases, task orchestration, scheduling, and cloud deployments — in partnership with ML engineers. Requires 5+ years of distributed-systems experience and Python (or deep Go/Rust).

About the Role

Join a platform team at an AI/ML startup, helping build and strengthen the systems behind document processing. You will partner with ML engineers to make customer workloads fast, reliable, and cost efficient.

What You'll Do

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

  • Work with ML 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 as workload volume grows, addressing latency, reliability, and scaling challenges.

  • Join 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 work on distributed systems.

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

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

  • Application-level engineering experience in addition to infrastructure work, as well as on-call experience.

  • Background in a startup or other fast-moving environment, with experience supporting systems at scale.

  • Experience with cloud infrastructure and model-serving optimization is valuable.

Compensation & Benefits

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

Location

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

Skills

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