Senior Backend Engineer – GPU Compute & Durable Workflows

OpenRelay, Inc.

San Francisco (CA)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

OpenRelay, Inc. is building a GPU compute and inference platform and seeks a highly autonomous backend engineer.

You will design, build, and operate the services that run customer workloads, own long-running workflows, and ship production-grade solutions. You will work directly with the founders to set technical direction, manage infrastructure as code with AWS, Terraform, and Docker, and ensure system reliability.

Qualifications

  • 3-4+ years of industry experience building and running backend or infrastructure systems in production.
  • Strong Go proficiency for backend services.
  • Experience with AWS, Terraform, and Docker in production environments.
  • Experience with Temporal or another durable workflow engine.
  • Ability to independently scope and ship complex projects with high autonomy.

Responsibilities

  • Design, build, and operate the backend services that run customer GPU workloads.
  • Own long-running workflows that must finish correctly through crashes, retries, and partial failures.
  • Manage cloud infrastructure as code, and keep it secure, reliable, and cost-efficient.
  • Make architectural decisions that other engineers build on.
  • Own the reliability of what you build: monitoring, alerting, incident response, and the fix that stops it happening again.
  • Decide what to build next, and say no to work that does not matter.

Skills

Go
AWS
Terraform
Docker
Temporal
Production experience

Tools

Nomad
Consul
Vault

Job description

OpenRelay, Inc. is building a GPU compute and inference platform and seeks a highly autonomous backend engineer.

You will design, build, and operate the services that run customer workloads, own long-running workflows, and ship production-grade solutions. You will work directly with the founders to set technical direction, manage infrastructure as code with AWS, Terraform, and Docker, and ensure system reliability.

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