# Infrastructure Engineer

**Company:** [Relace](https://hotfix.jobs/companies/relace)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Experience:** 2+ years
**Skills:** AWS, GCP, Azure, Kubernetes, Docker, Gpus, Distributed Systems, ML Infrastructure, Terraform, Linux
**Posted:** 2025-10-29

> Designs and operates high-performance inference and training infrastructure for ML models, focusing on GPU scheduling, distributed systems, and cloud optimization. Requires 2+ years experience with cloud platforms like AWS/GCP/Azure.

## Job Description

## Responsibilities
- Architect and manage the infrastructure powering our ultra-fast inference and training stack.
- Build reliable, efficient systems for deploying and scaling ML workloads globally.
- Work on GPU scheduling, distributed systems, and high-performance cloud deployments.
- Optimize performance and cost across compute, networking, and storage layers.
- Collaborate with world-class engineers to push the limits of what small models can do.

## Requirements
- 2+ years of experience writing high-quality production code
- Strong experience with cloud infrastructure (**AWS**, **GCP**, **Azure**, or equivalent)
- Experience with data science and systems optimization
- Familiarity with ML infrastructure, **GPUs**, etc. a plus

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**Apply:** https://hotfix.jobs/jobs/2f308d4d-4989-4294-b719-2412dffed093
**Canonical:** https://hotfix.jobs/jobs/2f308d4d-4989-4294-b719-2412dffed093