Principal Infrastructure Engineer - Platform

About this role

About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native infrastructure platforms engineered for sovereignty, performance, and scale — powering GPU-native workloads, multi-tenant control planes, and high-performance AI systems for the most demanding environments. We are building purpose-built AI infrastructure from powered land, to compute, to software. As we scale our operations and deploy capital into the next generation of AI infrastructure, we are looking to expand our finance team with leaders who can combine technical strength with execution excellence and are driven to build. Radiant was established by Brookfield, a leading global alternative asset manager with over US$1 trillion of assets under management across real estate, infrastructure, renewable power and transition, private equity and credit. Brookfield's global relationships, investment expertise and access to long-term institutional capital provide Radiant with a differentiated platform from which to develop, finance and operate AI infrastructure assets. This combination of entrepreneurial execution and institutional sponsorship enables Radiant to pursue large-scale GPU and AI infrastructure opportunities globally. 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/OpenBao, 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

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