Senior Infrastructure Engineer

Radiant; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Exposure to cutting-edge AI infra

Mentorship and growth opportunities

Broad platform stack exposure

Job summary

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

You will lead virtualization, bare-metal provisioning, Kubernetes across hybrid/multi-cloud, CI/CD pipelines, security hardening, observability, and IaC automation, partnering with cross-functional teams and mentoring engineers

Qualifications

• Extensive experience delivering infrastructure at scale in cloud-native, AI-native environments.
• Strong Kubernetes fundamentals and container networking knowledge.
• Hands-on coding experience in Go or Python for automation.
• Familiarity with IaC tools like Terraform and Ansible.
• Solid observability experience with Prometheus, Grafana and tracing.

Responsibilities

• Design and operate virtualization solutions optimized for AI-native workloads.
• Provision, orchestrate and manage bare-metal hardware at scale.
• Deploy and manage Kubernetes clusters across hybrid/multi-cloud environments.
• Build and maintain CI/CD pipelines to automate infrastructure delivery.
• Implement security hardening, IAM, and supply chain security practices.
• Create clear runbooks and documentation for infrastructure.

Skills

Kubernetes

Networking (TCP/UDP/DNS)

IaC (Terraform)

Automation (Go/Python)

Observability (Prometheus/Grafana)

Documentation & Collaboration

Tools

Terraform

Ansible

Docker

Kubernetes tools

Job description

Location: UK (occasional office travel) | Employment Type: Full-time, Permanent | Reports to: Engineering Manager

About The Role

We’re looking for a Senior Infrastructure Engineer in our Platform team to drive the architecture, design, and implementation of our next-generation AI-native cloud platform. You will implement scalable, resilient infrastructure and the self-service tooling that sits on top of it, working within an agreed architectural direction and contributing to how that direction evolves. You will combine strong hands‑on engineering with clear communication, enabling teams to run HPC and AI/ML workloads reliably at scale.

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 & Solution Design:

• Analyse emerging technologies and assess their potential fit within our platform, considering scalability, security, and performance.
• Produce low‑level designs and implementation plans for platform components, escalating cross‑cutting architectural decisions appropriately.
• Collaborate with cross-functional teams to ensure successful implementation of infrastructure solutions.
• Participate in design reviews, offering constructive technical challenge.
• Write clear documentation and runbooks for the systems you build.

Collaboration and Leadership:

• Foster a 'how do we achieve this?' mindset, championing a positive, solution‑oriented approach to challenges.
• Mentor less experienced engineers through pairing, code review and design feedback.
• Work with engineers across teams to deliver infrastructure work that lands end to end.

What You'll Bring

• Hands‑on experience delivering infrastructure at scale in cloud‑native, HPC or AI‑native environments.
• 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 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 (IaC) tools like Terraform, Ansible, and cloud orchestration frameworks.
• Hands‑on coding experience in Go, Python, or similar languages for automation.
• Solid grasp of observability tools (Prometheus, Grafana) and distributed tracing systems.
• Strong communication and collaboration skills, with the ability to convey complex technical concepts to cross‑functional teams.
• Demonstrate ability to create 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.
• Experience with 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, working iteratively to deliver high‑quality results.

Why Join Radiant

• Work on a rapidly scaling AI infrastructure business at the forefront of the industry
• Get broad exposure to a cutting‑edge physical & software infrastructure stack
• Be part of a team where you're genuinely valued and your work directly enables business decisions
• Develop your career in a Brookfield-backed company with resources, mentorship, and genuine growth opportunities