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Lead Software Engineer, Platform

  • San Francisco, CA, United States

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

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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

Original job description

ABOUT THE ROLE

Join the platform team at an AI/ML company building document processing technology. You will strengthen the systems that run customer workloads, working closely with ML engineers to improve reliability, performance, and cost efficiency.

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 ML teams to serve in-house models efficiently and integrate them into production pipelines.
  • Build and maintain databases, task orchestration, workload scheduling, and cloud infrastructure.
  • Improve distributed systems as workload volume grows, addressing latency, reliability, and scaling challenges.
  • Participate in on-call rotations and take end-to-end responsibility for platform health.

WHAT WE'RE LOOKING FOR

  • At least 5 years of platform or backend engineering experience, including work with distributed systems.
  • Proficiency in Python, or deep expertise in Go or Rust with willingness to work in Python.
  • Experience building and scaling core infrastructure, task orchestration, and reliable production platforms.
  • Application-level engineering experience in addition to infrastructure work, along with cloud infrastructure and on-call experience.
  • Background in a startup or other fast-growing environment, with experience operating mature systems at scale.
  • Experience optimizing model serving and working closely with machine learning teams 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.

More about this job

Skills

  • ML
  • Maintain database
  • Scheduling
  • Python
  • Go
  • Machine learning

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