AI-Native Infrastructure Architect

Radiant

Greater London

Hybride

GBP 110 000 - 150 000

Plein temps

Il y a 30 heures
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Avantages offerts par ce poste

Rapidly scaling AI infrastructure
Broad exposure to cutting-edge stack
Mentorship and growth opportunities
Brookfield-backed company resources

Résumé du poste

Radiant is seeking a Principal Infrastructure Engineer to shape the architecture of an AI-native cloud platform. You will lead design and implementation across a globally distributed environment, focusing on HPC and AI/ML workloads, with a strong emphasis on automation and security.

In this hybrid role, you will mentor teams, collaborate with engineering leaders, and deliver scalable infrastructure across on-prem and cloud environments.

Qualifications

  • Proven experience in infrastructure architecture and design with detailed proposals.
  • Extensive expertise in large-scale AI-native, HPC and cloud-native deployments.
  • Advanced knowledge of Kubernetes, container networking and service mesh.
  • IaC proficiency with Terraform and Ansible; strong automation background.
  • Hands-on coding experience in Go or Python for automation.

Responsabilités

  • Architect and implement virtualisation solutions optimized for AI-native workloads and HPC.
  • Lead lifecycle management of bare-metal hardware and Unix/Linux configurations.
  • Design cloud-native storage and networking with SDN and high performance.
  • Deploy and manage Kubernetes across hybrid/multi-cloud environments.
  • Develop CI/CD pipelines to automate infrastructure delivery and ensure global operations.
  • Drive security hardening, IAM, and supply chain safety across clusters.

Connaissances

Infrastructure architecture
Kubernetes
Cloud-native platforms
Networking
Go
Python
IaC
Observability
Leadership

Outils

Terraform
Ansible
Kubernetes
Docker
CI/CD tooling

Description du poste

Radiant is seeking a Principal Infrastructure Engineer to shape the architecture of an AI-native cloud platform. You will lead design and implementation across a globally distributed environment, focusing on HPC and AI/ML workloads, with a strong emphasis on automation and security.

In this hybrid role, you will mentor teams, collaborate with engineering leaders, and deliver scalable infrastructure across on-prem and cloud environments.

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