Senior AI-Native Cloud Infrastructure Engineer

Radiant

United Kingdom

On-site

GBP 90,000 - 130,000

Full time

3 days ago
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Job summary

Radiant is seeking a Senior Infrastructure Engineer to drive the architecture, design, and implementation of an AI-native cloud platform. You will build scalable, resilient infrastructure and self-service tooling, enabling teams to run HPC and AI/ML workloads reliably at scale.

You will design & operate virtualization, manage bare-metal provisioning, and deploy Kubernetes across hybrid/multi-cloud environments, while championing security, observability, and automation.

Qualifications

  • Hands-on experience delivering infrastructure at scale in cloud-native, HPC or AI-native environments.
  • Strong Kubernetes fundamentals and SDN knowledge.
  • Experience with IaC and automation tooling.

Responsibilities

  • Design and operate virtualised infrastructure for AI-native workloads.
  • Provision, orchestrate and manage bare-metal hardware lifecycle.
  • Manage high-performance storage and networking for demanding workloads.
  • Deploy and manage Kubernetes clusters across hybrid/multi-cloud environments.
  • Build CI/CD pipelines to automate infrastructure delivery.
  • Collaborate with cross-functional teams and contribute to design reviews.

Skills

Kubernetes fundamentals
Networking protocols
IaC (Terraform, Ansible)
Go / Python
Observability & tracing
Documentation & runbooks
Collaboration & communication
Mentoring
Hypervisor virtualization
Security hardening

Tools

Terraform
Ansible
Kubernetes
Cloud orchestration

Job description

Radiant is seeking a Senior Infrastructure Engineer to drive the architecture, design, and implementation of an AI-native cloud platform. You will build scalable, resilient infrastructure and self-service tooling, enabling teams to run HPC and AI/ML workloads reliably at scale.

You will design & operate virtualization, manage bare-metal provisioning, and deploy Kubernetes across hybrid/multi-cloud environments, while championing security, observability, and automation.

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