Senior AI Infrastructure Engineer - GPU Cloud Platform

Near Tech Search ·neartechsearch.com

Location London, United Kingdom, United Kingdom
Work type Hybrid
Type Full time
Level Senior
Source Shazamme
Cloud Engineering
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Senior AI Infrastructure Engineer – GPU Cloud Platform

London (Hybrid, 2 days in office) | £90,000 – £120,000 | Permanent

The company

A VC-backed AI cloud provider that gives AI companies and research teams access to large-scale GPU compute. They’ve raised Series A funding, have around 60 people, and are scaling their platform across multiple data centres in the UK and Europe. Customers range from early-stage AI startups to enterprise ML teams running large training and inference workloads.

The role

You’ll join a small, senior infrastructure team that owns the platform customers run their workloads on. This is a hands-on role with real ownership. You’ll help shape how the platform scales as GPU capacity grows over the next 12–18 months.

What you’ll be doing

  • Building and operating Kubernetes clusters for GPU workloads across bare-metal and cloud environments
  • Managing GPU scheduling, multi-tenancy and resource isolation using tools such as the NVIDIA GPU Operator
  • Automating provisioning and configuration with Terraform, Ansible and GitOps (ArgoCD/Flux)
  • Improving observability and reliability with Prometheus, Grafana and alerting on high-value compute
  • Working on networking and storage performance for distributed training (InfiniBand/RoCE, high-throughput storage)
  • Supporting customers and internal ML engineers to get workloads running efficiently
  • Taking part in a fair, well-supported on-call rota

What they’re looking for

  • 5+ years in platform, infrastructure or SRE roles
  • Deep production Kubernetes experience, ideally including operators or custom controllers
  • Strong Terraform / infrastructure as code skills
  • Solid Linux and networking fundamentals
  • Go or Python for tooling and automation
  • Experience with AWS, GCP, Azure or on-prem environments

Nice to have

  • GPU infrastructure experience (NVIDIA, CUDA drivers, DCGM)
  • Slurm or HPC backgrounds
  • Bare-metal or data-centre experience
  • Exposure to Ray, Kubeflow or distributed training workloads

Please note: Applicants must have the right to work in the UK. Visa sponsorship is not available for this role.

Interested? Apply directly or email max@neartechsearch.com for a confidential conversation and the full job spec.

Frequently asked questions

Who is hiring for the Senior AI Infrastructure Engineer - GPU Cloud Platform role?
Near Tech Search is hiring for the Senior AI Infrastructure Engineer - GPU Cloud Platform position, a Shazamme client. Apply directly on the employer's career site.
Where is the Senior AI Infrastructure Engineer - GPU Cloud Platform job located?
The Senior AI Infrastructure Engineer - GPU Cloud Platform role with Near Tech Search is based in London, GB. The role is hybrid-friendly.
Is the Senior AI Infrastructure Engineer - GPU Cloud Platform role remote?
Yes — the Senior AI Infrastructure Engineer - GPU Cloud Platform position at Near Tech Search is hybrid. Candidates based in GB are preferred.
Is the Senior AI Infrastructure Engineer - GPU Cloud Platform role full-time or contract?
This is a full time position at Near Tech Search.
What experience level is the Senior AI Infrastructure Engineer - GPU Cloud Platform role?
The Senior AI Infrastructure Engineer - GPU Cloud Platform position is aimed at senior-level candidates.
How do I apply for the Senior AI Infrastructure Engineer - GPU Cloud Platform role at Near Tech Search?
Apply directly on Near Tech Search's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.
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