Site Reliability Engineer (EU Remote) - AI infrastructure

Hamilton Barnes Associates Limited; Amstelveen; Remote; EUR 180,000 - 220,000; Full time

Benefits offered by this job

IPO Equity

Job summary

A seed-stage AI infrastructure company is seeking a Site Reliability Engineer for their European operations in a remote capacity. This role requires over 7 years of experience in SRE, DevOps, or Infrastructure Engineering, with expertise in Kubernetes and Slurm. Responsibilities include designing large-scale GPU clusters, building automation pipelines, and ensuring high availability of workloads. The position offers a competitive salary of €200,000+ gross annually, along with IPO equity benefits.

Qualifications

• 7+ years of experience in SRE, DevOps, or Infrastructure Engineering roles supporting large-scale compute environments.
• Strong hands-on experience with Kubernetes and Slurm for cluster orchestration and workload management.
• Deep knowledge of Linux systems, networking, and GPU infrastructure (NVIDIA H100/H200/B200 preferred).

Responsibilities

• Design, deploy, and maintain large-scale GPU clusters for training and inference workloads.
• Build automation pipelines for provisioning, scaling, and monitoring compute resources.
• Develop observability, alerting, and auto-healing systems for high-availability workloads.

Skills

Kubernetes

Slurm

Linux systems

Networking

GPU infrastructure

Python

Go

Bash

Tools

Prometheus

Grafana

Loki

Job description

Overview

Join a seed-stage AI infrastructure company building large-scale training and inference platforms previously accessible only to hyperscalers. The business began with a single managed GPU cluster that reached capacity almost immediately and has since expanded into a global platform spanning infrastructure, networking, and orchestration.

They are now seeking a Site Reliability Engineer to join their Eu operations in this remote role. This is ideal if you have 7 years of experience in SRE, DevOps, or Infrastructure Engineering roles and have had exposure to supporting large-scale compute environments.

If you are interested in this exciting opportunity, get in touch and apply today!

Responsibilities

• Design, deploy, and maintain large-scale GPU clusters (H100/H200/B200) for training and inference workloads.
• Build automation pipelines for provisioning, scaling, and monitoring compute resources across Slurm and Kubernetes environments.
• 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.

Qualifications

• 7+ years of experience in SRE, DevOps, or Infrastructure Engineering roles supporting large-scale compute environments.
• Strong hands-on experience with Kubernetes and Slurm for cluster orchestration and workload management.
• Deep knowledge of Linux systems, networking, and GPU infrastructure (NVIDIA H100/H200/B200 preferred).
• Proficiency in Python, Go, or Bash for automation, tooling, and performance tuning.
• Experience with observability stacks (Prometheus, Grafana, Loki) and incident response frameworks.
• Familiarity with high-performance computing (HPC) or AI/ML training infrastructure at scale.
• Background in reliability engineering, distributed systems, or hardware acceleration environments is a strong plus.

Benefits

• IPO Equity

Salary

• €200,000+ gross per year