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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 work with distributed systems.
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 platform engineering team at an AI and machine learning startup, strengthening the infrastructure behind document processing workflows. You will help make customer jobs faster, more reliable, and cost-efficient while collaborating closely with machine learning engineers.

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 usage 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 platform or backend engineering experience, including work with distributed systems.
  • 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.
  • Cloud infrastructure, model serving optimization, and on-call experience.
  • Startup experience or a demonstrated record of taking on increasing technical responsibility.

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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