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Lead Software Engineer, Platform

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Summary

This engineer owns and improves the platform that runs an AI company's document-processing workloads — building databases, task orchestration, workload scheduling, and cloud infrastructure while partnering with ML engineers to serve in-house models efficiently. On-site in San Francisco, $220k–$320k.

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.

Skills

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