Senior SRE - AI GPU Infra & HPC Orchestrator (Remote EU)

Hamilton Barnes ?; España; Presencial; EUR 120.000 - 190.000; Jornada completa

Descripción de la vacante

Hamilton Barnes is seeking a Senior Site Reliability Engineer to own reliability, performance, and automation for a hyperscale GPU-centric infrastructure. You will shape operations for thousands of nodes and work across Slurm and Kubernetes environments.

Join a stealth-mode data center startup focused on AI workloads, with international remote scope and opportunities to influence high-availability GPU clusters at scale.

Formación

• 7+ years of SRE/DevOps experience supporting large-scale compute environments.
• Strong hands-on Kubernetes and Slurm for cluster orchestration.
• Deep Linux, networking and GPU infrastructure knowledge.
• Automation in Python/Go/Bash for tooling and performance tuning.
• Experience with observability stacks and incident response frameworks.
• Familiarity with HPC/AI training infrastructure at scale.
• Background in reliability engineering or distributed systems is a plus.

Responsabilidades

• Design, deploy, and maintain large-scale GPU clusters for training and inference.
• Build automation for provisioning, scaling, and monitoring compute resources.
• Develop observability, alerting, and auto-healing systems.
• Collaborate with ML, networking, and platform teams to optimise scheduling.
• Implement infrastructure-as-code, CI/CD, and reliability standards.
• Diagnose bottlenecks and drive improvements in reliability and latency.

Conocimientos

SRE/DevOps experience

Kubernetes

Slurm

Linux

Python/Go/Bash

Observability

HPC/AI infra

Herramientas

Prometheus

Grafana

Loki

CI/CD

Descripción del empleo

Hamilton Barnes is seeking a Senior Site Reliability Engineer to own reliability, performance, and automation for a hyperscale GPU-centric infrastructure. You will shape operations for thousands of nodes and work across Slurm and Kubernetes environments.

Join a stealth-mode data center startup focused on AI workloads, with international remote scope and opportunities to influence high-availability GPU clusters at scale.