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Lead Software Engineer, Platform

  • San Francisco, CA, United States

$220,000 to $320,000 USD / year

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$220,000 to $320,000 USD / year
Experience
At least 5 years of platform or backend engineering experience, including distributed systems work.
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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.

More about this job

Skills

  • Machine learning
  • Scheduling
  • Python
  • Go
  • Rust

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