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SieveSieveSan Francisco, CA

Distributed Systems Engineer

Designs and engineers distributed systems for compute, scheduling, and orchestration of ML and ETL pipelines handling large-scale video data. Requires 3+ years building data infrastructure, proficiency in Go/Python, and experience with petabyte-scale pipelines and CI/CD.

150k – 300k/yr
On-site3+ YOEDevOps / SRE

About the role

Requirements

  • 3+ years of experience building foundational data infrastructure
  • Proficient in working across diverse cloud architectures
  • Designed and maintained pipelines that process petabytes of data
  • Developed robust CI/CD pipelines tailored for ML-focused teams
  • Strong coding experience with Go and Python; Experience with Rust is a plus
  • Operates as an IC who leads by example
  • Experience with large-scale video data systems

Benefits

  • 401k + Full Health Insurance
  • Breakfast, Lunch, and Dinner covered and your choice of snacks
  • Ubers covered home

Skills

GoPythonRustCI/CDKubernetesDistributed SystemsCloud ArchitecturesEtl PipelinesMl PipelinesVideo Data Systems

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