Senior SRE – AI Infra: Scale GPU Clusters & HPC

Hamilton Barnes Associates Limited; San Francisco (CA); On-site; USD 225,000 - 275,000; Full time

Benefits offered by this job

IPO Equity

10% comapny bonus

401K 4% match

Job summary

Hamilton Barnes Associates Limited is seeking an experienced SRE/Infrastructure Engineer to help build a seed-stage AI infrastructure company with large-scale GPU clusters for training and inference. You design, deploy, and maintain compute environments and ensure reliability across Slurm and Kubernetes.

You will implement automation, observability, and IaC practices, collaborating with ML and platform teams to optimize GPU utilization, data flow, and latency.

Qualifications

• 7+ years in SRE/DevOps or infrastructure engineering for large-scale compute.
• Hands-on with Kubernetes and Slurm for cluster orchestration.
• Strong Linux, networking, and NVIDIA GPU infra knowledge.
• Proficient in Python, Go, or Bash for automation.
• Experience with observability stacks and incident response.
• Familiar with HPC/AI training infra at scale.
• Background in reliability engineering or distributed systems is a plus.

Responsibilities

• Design, deploy, and maintain large-scale GPU clusters for training and inference workloads.
• Build automation pipelines for provisioning, scaling, and monitoring compute resources across Slurm and Kubernetes.
• Develop observability, alerting, and auto-healing systems for high-availability GPU workloads.
• Collaborate with ML, networking, and platform teams to optimise resource scheduling, GPU utilisation, and data flow.
• Implement infrastructure-as-code, CI/CD pipelines, and reliability standards across thousands of nodes.
• Diagnose performance bottlenecks and drive continuous improvements in reliability, latency, and throughput.

Skills

SRE/DevOps experience

Kubernetes

Slurm

Linux systems

Python/Go/Bash

Observability stacks

AI/ML infra experience

Reliability engineering

Tools

Prometheus

Grafana

Loki

CI/CD tooling

Job description

Hamilton Barnes Associates Limited is seeking an experienced SRE/Infrastructure Engineer to help build a seed-stage AI infrastructure company with large-scale GPU clusters for training and inference. You design, deploy, and maintain compute environments and ensure reliability across Slurm and Kubernetes.

You will implement automation, observability, and IaC practices, collaborating with ML and platform teams to optimize GPU utilization, data flow, and latency.