Senior Infrastructure Engineer

## About the Role Location: UK (occasional office travel) | Full-time, permanent | Reports to: Engineering Manager. The Platform team is hiring a Senior Infrastructure Engineer to drive the architecture, design and implementation of the next-generation AI-native cloud platform: scalable, resilient infrastructure and the self-service tooling on top of it, so teams can run HPC and AI/ML workloads reliably at scale, within an agreed architectural direction. ## What You'll Do **Infrastructure design & virtualisation** - Implement and operate virtualisation solutions optimised for AI-native workloads, including hypervisor tuning for HPC environments. - Build platform capabilities that scale with customer demand for compute, storage and networking. **Bare-metal and operating system management** - Deliver provisioning, orchestration and lifecycle management of bare-metal hardware. - Maintain strong Unix/Linux expertise, producing secure and performant configurations at scale. **Networking and high-performance storage** - Implement high-performance, cloud-native storage and networking for demanding workloads. - Apply solid working knowledge of networking protocols (TCP, UDP, DNS, encryption) and software-defined networking. **Kubernetes and cloud-native platforms** - Deploy and manage Kubernetes clusters across hybrid and multi-cloud environments, leveraging CNIs and service meshes. - Build and maintain CI/CD pipelines that automate infrastructure delivery. **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. - Apply least-privilege IAM patterns across bare-metal, cluster and cloud control planes. **Observability and automation** - Build and maintain observability pipelines covering 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 and collaboration** - Analyse emerging technologies and assess their fit within the platform, considering scalability, security and performance. - Produce low-level designs and implementation plans; participate in design reviews with constructive technical challenge. - Mentor less experienced engineers through pairing, code review and design feedback. - Write clear documentation and runbooks for the systems built. ## What You'll Bring - Hands-on experience delivering infrastructure at scale in cloud-native, HPC or AI-native environments. - Strong Kubernetes fundamentals, including container networking (CNI) and service mesh technologies. - Deep understanding of virtualisation and hypervisor technologies for high-performance workloads. - Strong proficiency in networking protocols (TCP, UDP, DNS, BGP) and SDN solutions. - Skilled in Infrastructure-as-Code (Terraform, Ansible) and cloud orchestration frameworks. - Hands-on coding experience in Go, Python or similar. - Solid grasp of observability tools (Prometheus, Grafana) and distributed tracing systems. - Strong communication and collaboration skills; ability to convey complex technical concepts to cross-functional teams. - Clear and concise documentation for infrastructure designs, processes and systems. ## Nice to Have - AI/ML workloads, GPU-accelerated systems or HPC infrastructures, including GPU partitioning with MIG and the NVIDIA GPU Operator. - RDMA fabrics such as InfiniBand or RoCEv2, and GPUDirect data paths. - High-throughput distributed storage at scale, such as Ceph or a parallel filesystem. - Familiarity with hybrid cloud and edge computing principles. - Experience leading architecture initiatives in agile environments. Radiant est une société soutenue par Brookfield.