Distributed Systems Engineer

Sieve
San Francisco
Workplace: OnsiteFull timeUSD 150,000 - 300,000 annuallyFunction: IT Operations (Systems/Network Admin)Experience: 3+ yearsSkills: ["Go","Python","Rust","Cloud","CI/CD","Distributed systems","GPU","Video data"]

Design and engineer distributed systems for ML and ETL pipelines handling petabytes of video data, focusing on uptime, cloud portability, and cost-efficiency. Involve building scalable data infrastructure, CI/CD tooling, and internal tooling for rapid iteration in a GPU-heavy environment. Collaborate across teams to optimize scheduling, orchestration, and performance in a high-scale AI research context.

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FursaFursa
Sieve
Sieve
1 year ago

Distributed Systems Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Design and engineer distributed systems for ML and ETL pipelines handling petabytes of video data, focusing on uptime, cloud portability, and cost-efficiency. Involve building scalable data infrastructure, CI/CD tooling, and internal tooling for rapid iteration in a GPU-heavy environment. Collaborate across teams to optimize scheduling, orchestration, and performance in a high-scale AI research context.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

  • •Design and implement distributed systems for ML and ETL pipelines that run reliably at scale.
  • •Build and maintain pipelines and tooling to support GPU-scale video data processing.
  • •Develop and operate CI/CD pipelines and internal tooling to enable rapid iteration for ML-focused teams.
  • •Collaborate with cross-functional teams to optimize uptime, performance, and cost in cloud environments.
  • •Lead by example as an individual contributor while contributing to system design decisions.

Pay and Benefits

Salary: USD 150,000 - 300,000 annually
Perks:Health Insurance401kMeal Allowance

Key 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; Rust is a plus
Experience:3+ yearsCloudDistributed systemsVideo data
Skills:GoPythonRustCloudCI/CDDistributed systemsGPUVideo data
Tech Stack:GoPythonRustCloudCI/CDKubernetesDocker

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Sieve
Industry: Data Infrastructure
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