Member of Technical Staff, Platform

OpenRelay, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

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

San Francisco or Seattle Full time GPU compute and inference platform (YC S26)

We are a small team backed by Y Combinator. Everyone here owns large, important systems that are live in production.

About the role

This is a high-autonomy role. There is no ticket queue. You will find the most important problem, decide how to solve it, ship it to production, and own the result. You will work directly with the founders and help set our technical direction.

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-effici
• 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
• 3-4+ years of industry experience building and running backend or infrastructure systems in production
• Strong Go
• Production experience with AWS, Terraform, and Docker
• Experience with Temporal or another durable workflow engine
• A track record of independently scoping and shipping complex, ambiguous projects
• You do your best work with high autonomy: you scope your own projects, ship them, and own the outcome

Strong candidates may also have

• HashiCorp tools beyond Terraform, such as Nomad, Consul, or Vault
• Experience with GPU or high-performance compute infrastructure
• Experience at an early-stage startup

Representative projects

• Design the workflow that takes a GPU request from API call to running machine, and make it correct through every failure along the way
• Make provisioning faster and more predictable, and prove it with production numbers
• Build the tooling that lets a small team run a growing fleet without growing the on-call load
• Lead an incident review, then ship the change that removes the whole class of failure

The video

Logistics

• Location: San Francisco or Seattle
• Compensation: competitive salary and equity