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Salary
$220K–$320K
Moves you to
United States
Support
Visa sponsorship
Posted
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About the Role

Join a small, high-impact platform team at an AI document processing startup. You will own and strengthen the infrastructure behind customer workloads, helping ensure processing is fast, reliable, and cost-efficient as the platform scales. You will partner closely with machine learning engineers to bring models into production.

What You'll Do

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

  • Collaborate 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.

  • Address latency, reliability, and scaling challenges across distributed systems as workload volume grows.

  • Participate in an on-call rotation and take end-to-end responsibility for platform health.

What We're Looking For

  • At least 5 years of software engineering experience, including experience working at a startup and on mature systems operating at scale.

  • Experience owning and scaling core infrastructure, with a strong background in distributed systems, task orchestration, and platform reliability.

  • Experience building application-level software as well as infrastructure, and participating in on-call responsibilities.

  • Proficiency in Python, or deep expertise in Go or Rust and willingness to transition to Python.

  • Experience with cloud infrastructure and optimizing model serving.

Compensation & Benefits

Annual salary range: $220,000 to $320,000 USD. Visa sponsorship is available.

Location

Remote within the United States, with San Francisco, California as the primary location.

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