Senior Staff SRE | Data Platform Reliability

Fivetran, Inc.

Michigan

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking a high-performance Site Reliability Engineer in Oakland, CA, with hybrid work options. You’ll own reliability of the data platform, oversee deployment pipelines, and drive incident response with cross‑functional teams to ensure scalable, resilient infrastructure.

You will partner with engineering, product, support, and sales to maintain 100% availability and rapid incident resolution, leveraging cloud networking and automation to improve the data stack.

Qualifications

  • Experienced Site Reliability Engineer focused on reliability and performance of production infrastructure.
  • Ability to work with engineering, product managers, support, and sales engineers to build reliable systems.
  • Strong knowledge of cloud platforms and container orchestration in production environments.

Responsibilities

  • Monitor availability, capacity, and throughput of production systems.
  • Suggest improvements to product roadmap to improve reliability.
  • Coordinate bug fixes for critical issues for support or sales needs.
  • Advise on production infrastructure to achieve 100% availability.
  • Ensure deployment artifacts are scalable across environments via automation.
  • Collaborate with security to remediate infrastructure vulnerabilities.

Skills

Kubernetes
Cloud platforms
Python
Linux
Cloud networking
PostgreSQL

Tools

Terraform
Ansible
Buildkite
Pulumi
ArgoCD

Job description

United States Digital Space LLC is seeking a high-performance Site Reliability Engineer in Oakland, CA, with hybrid work options. You’ll own reliability of the data platform, oversee deployment pipelines, and drive incident response with cross‑functional teams to ensure scalable, resilient infrastructure.

You will partner with engineering, product, support, and sales to maintain 100% availability and rapid incident resolution, leveraging cloud networking and automation to improve the data stack.

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