Senior HPC/AI Infra SRE — 24/7 GPU Compute Reliability

Radiant

England

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Exposure to industry-leading GPU and AI infrastructure
Collaborative, inclusive, and supportive engineering culture
Real ownership and influence over operational excellence

Job summary

Radiant in the United Kingdom is seeking a Senior Infrastructure Site Reliability Engineer, responsible for ensuring the reliability and performance of high-performance computing infrastructure. This role demands expertise in large-scale distributed systems and operational excellence within a 24/7 support model.

The ideal candidate will have extensive experience with GPU technologies, Linux systems, and performance tuning. Join us to work with advanced technology that influences next-generation compute environments.

Qualifications

  • 8+ years experience in Site Reliability Engineering, Infrastructure Engineering, or similar roles.
  • 2–3+ years recent experience in HPC or AI infrastructure.
  • Strong Linux expertise, especially in production troubleshooting.

Responsibilities

  • Operate and improve high-density AI/HPC infrastructure in a 24/7 production environment.
  • Lead performance evaluation, testing, and operational acceptance of new HPC infrastructure.
  • Drive continuous service improvement through automation and process refinement.

Skills

Site Reliability Engineering
High-performance computing
Linux expertise
Networking fundamentals
Performance tuning
Infrastructure automation
Troubleshooting

Education

Bachelor or Masters Level degree in Computer Science or related field

Tools

NVIDIA GPU ecosystems
Ansible
Prometheus
Grafana
IPMI
iLO

Job description

Radiant in the United Kingdom is seeking a Senior Infrastructure Site Reliability Engineer, responsible for ensuring the reliability and performance of high-performance computing infrastructure. This role demands expertise in large-scale distributed systems and operational excellence within a 24/7 support model.

The ideal candidate will have extensive experience with GPU technologies, Linux systems, and performance tuning. Join us to work with advanced technology that influences next-generation compute environments.

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