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.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Sieve
Sieve
1 year ago

Distributed Systems Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 37 minutes 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
Provides a data observability and quality platform that monitors pipelines, detects anomalies, enforces data contracts, and surfaces lineage and reliability insights to help teams trust production data across warehouses and ETL systems.
Industry: Data Infrastructure
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Website