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Principal Infrastructure Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Radiant
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below
About the Role

Location:

UK (occasional office travel) |

Employment Type:

Full-time, Permanent |

Reports to:

Engineering Manager

We’re looking for a Principal Infrastructure Engineer in our Platform team to drive the architecture, design, and implementation of our next-generation AI-native cloud platform. You will analyse cutting-edge technologies, design scalable and resilient infrastructure solutions, and lead their implementation across a globally distributed environment. You’ll combine deep technical expertise with solution-focused leadership, you will enable our infrastructure to power HPC and AI/ML workloads, delivering value through innovation and collaboration.

What

You'll Do Infrastructure Design & Virtualisation:
  • Architect, design and implement virtualisation solutions optimised for AI-native workloads, focusing on HPC environments and hypervisor tuning.

  • Design infrastructure that dynamically adjusts to meet customer demands for storage and networking resources, ensuring resilience and scalability.

Bare-Metal and Operating System Management:
  • Lead the lifecycle management of bare-metal hardware, ensuring efficient provisioning, orchestration, and optimisation.

  • Maintain deep expertise in Unix/Linux systems, delivering secure, performant configurations at scale.

Networking and High-Performance Storage:
  • Design and implement high-performance, cloud-native storage and networking solutions for demanding workloads.

  • Apply advanced knowledge of networking protocols (TCP, UDP, DNS, encryption) and software-defined networking (SDN) technologies.

Kubernetes and Cloud-Native Platforms:
  • Deploy and manage Kubernetes clusters across hybrid and multi-cloud environments, leveraging CNIs and service meshes.

  • Architect scalable CI/CD pipelines to automate infrastructure delivery and ensure reliable global operations.

Security and Audit:
  • Kubernetes security hardening (RBAC, PSA/PSP successors, network policies, admission controllers - OPA/Gatekeeper, Kyverino)

  • Secrets management and rotation across clusters (Vault/Open Bao, sealed-secrets, external-secrets patterns)

  • Supply chain security — image scanning, signed artifacts (cosign/sigstore), provenance attestation

  • IAM and least-privilege design across bare-metal, cluster, and cloud control planes

Observability and Automation:
  • Build observability pipelines to monitor and troubleshoot global systems, integrating tools for logs,metrics, and tracing.

  • Create automation frameworks to reduce operational toil, streamline deployments, and enhance scalability using tools like Terraform, Ansible, Go, and Python.

Architecture & Solution Design:
  • Analyse emerging technologies and assess their potential fit within our platform, considering scalability, security, and performance.

  • Develop high- and low-level architectural proposals, balancing technical and business requirements.

  • Collaborate with cross-functional teams to ensure successful implementation of infrastructure solutions.

  • Provide thought leadership on architecture best practices, driving alignment across engineering and product teams.

Collaboration and Leadership:
  • Foster a 'how do we achieve this?' mindset, championing a positive, solution-oriented approach to challenges.

  • Mentor and guide team members in architectural principles, emerging technologies, and best practices.

  • Partner with engineering leaders and stakeholders to align infrastructure projects with broader organisational goals.

What You'll Bring
  • Proven experience in infrastructure architecture and solution design, including the ability to produce detailed technical proposals.

  • Demonstrated success in evaluating and adopting new toolsets and technologies.

  • Extensive expertise in large-scale global infrastructure deployments, particularly in AI-native, HPC, and cloud-native…

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