---
title: 'Senior Infrastructure Engineer at Radiant'
canonical: 'https://feeny.ai/job/senior-infrastructure-engineer-radiant-london-d71etfe6nxk6'
type: 'job'
last_seen: '2026-10-18'
---

# Senior Infrastructure Engineer at Radiant

- **Company:** Radiant
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/radiant/518ae140-ea16-4cad-be62-53c55f5c7707

## Job description

## About the Role

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

## About Radiant

## Company Overview
- **One-liner**: Radiant is a vertically integrated AI infrastructure company that builds and operates AI factories combining utility-scale powered land, long-term capital, and a proprietary software platform.
- **Entity Type**: Private (portfolio company of Brookfield’s AI Infrastructure Fund)
- **Headquarters**: London, United Kingdom
- **Founded**: 2026 (formed via merger of Brookfield’s Radiant entity with Ori Industries)
- **Founders**: Mahdi Yahya (Founder & former CEO of Ori, now President of Radiant)

## Core Business
- **Primary industry**: AI Infrastructure / Cloud Computing / Data Centers
- **Target customers**: Sovereign governments, large enterprises, telecommunications providers (B2B, Enterprise, Sovereign)
- **Mission or purpose statement**: “Building the utility model for AI compute — ubiquitous, always on and offering superior economics. That model will power the intelligence revolution — giving every nation, enterprise and network the foundation to build what comes next.” [radiant.co](https://radiant.co/about)

## Products & Services
- **Radiant AI Cloud**: On-demand AI compute platform offering pre-configured bare metal offerings, GPU instances, and AI-as-a-Service offerings including Inference, Fine-Tuning, Model Registry, Kubernetes, and high-performance Storage.
- **AI Factories (Sovereign/Enterprise Deployments)**: Purpose-built, vertically integrated AI data centers built on the NVIDIA DSX reference design, offering utility-grade economics under long-term contracts for sovereign governments and select enterprises.
- **Powered Land Portfolio**: Access to over 5 GW live and 45 GW of renewable generation capacity globally — enabling rapid deployment of massive AI compute clusters at 20% below-market power costs through a mix of hydro, wind, geothermal, biomass, and dispatchable natural gas. [radiant.co](https://radiant.co/)
- **Proprietary Software Platform**: Dependency-free, lightweight architecture built on engineering first principles, featuring intelligent scheduling, automated node management, secure multi-tenancy, and a distributed control panel. Scales consistently from 10K to 100K+ GPUs.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed as a private entity. Backed by Brookfield with access to a $100 billion investment program for AI Infrastructure (Brookfield AI Infrastructure Fund).
- **Key Metric**: Total funding — Backed by Brookfield, with “more than $100 billion in deployable capital” available to the fund. Radiant is the first compute deployment vehicle and second seed investment for Brookfield’s AI Infrastructure Fund. [radiant.co](https://radiant.co/press-release-launch)
- **Notable Investors/Partners**: Brookfield (global alternative asset manager), NVIDIA (Cloud Partner — using NVIDIA Blackwell, GB200 NVL72, and upcoming Rubin architectures)
- **Growth Signals**: Recently launched (February 24, 2026) via merger of Radiant and Ori Industries. Targeting the multi-trillion market for integrated AI factories over the next decade. Rapidly expanding Ori’s integrated AI Cloud assets with the latest NVIDIA platforms.

## Competitive Advantages
- **Vertically Integrated Model**: Uniquely combines capital (Brookfield), powered land (5 GW live, 45 GW renewable capacity), proprietary software (built from first principles), and compute (NVIDIA partnership) into a single platform — “from silicon to service.”
- **Cost Advantage**: 20% below-market power costs through a balanced energy mix.
- **Capital Advantage**: Direct pipeline to $100B+ investment program, enabling massive, long-duration projects that competitors cannot match.
- **NVIDIA DSX Reference Design**: First-mover advantage in deploying at scale using NVIDIA’s latest architectures (Blackwell, Rubin) with full design and operational ownership.
- **Sovereign Focus**: Positioned as a partner for nations seeking AI infrastructure independence — a growing geopolitical priority.

## Strategic Focus
- **Scale AI Factories Globally**: Rapidly deploy AI compute capacity using the NVIDIA DSX reference design for sovereign governments, enterprises, and telecoms under long-term contracts.
- **Expand the Ori Global AI Cloud**: Continue to grow the on-demand AI cloud for customers needing rapid deployment and flexible capacity.
- **Maintain Vertical Integration**: Control every layer from capital and energy to software and hardware, ensuring operational autonomy and superior economics.
- **Long-term Planning**: Aligned with the long-term demands of the AI economy — thinking in decades, not quarters.

## Why Work Here
- **Culture**: “Outcome oriented” — the company values people who get things done, dream bigger, think in longer timelines, and build the assets that make every other ambition possible. [radiant.co](https://radiant.co/about)
- **Remote/Hybrid Policy**: Flexible work options, including remote and hybrid arrangements.
- **Compensation**: Competitive compensation with performance-based incentives and meaningful stock options.
- **Benefits**: Learning and development support, family-friendly policies with paid parental leave, generous vacation and company holidays.
- **Engineering Culture**: Led by CTO Chris Galloway (previously CTO at Ori, with experience at Broadcom/Symantec) and VP Product Joao Coelho (former AWS Solutions Architect, co-founder of open-source Multy). The team is building a proprietary, dependency-free software platform from first principles — appealing to engineers who want deep technical ownership.
- **Growth Opportunity**: Early-stage (launched Feb 2026) with massive capital backing — employees can shape the company’s trajectory and work on infrastructure at unprecedented scale (10K to 100K+ GPUs).
- **Hiring**: Actively hiring across every department. [radiant.co](https://radiant.co/about)

## Sources
1. [radiant.co - Homepage](https://radiant.co/)
2. [radiant.co - About Page](https://radiant.co/about)
3. [radiant.co - Press Release Launch](https://radiant.co/press-release-launch)
4. [Tech.eu - Radiant and Ori Merge](https://tech.eu/2026/02/24/radiant-and-ori-merge-to-deliver-sovereign-ai-cloud-at-utility-scale/)
5. [radiant.co - Blog: The Age of Abundance in AI](https://radiant.co/blog/the-age-of-abundance-in-ai)

## Other roles at Radiant

- [Engineering Manager](https://feeny.ai/job/engineering-manager-radiant-london-q8ze4dytf2t1) — London, United Kingdom
- [Head of Design](https://feeny.ai/job/head-of-design-radiant-united-states-3p6549d00q06) — United States
- [Project Co-ordinator](https://feeny.ai/job/project-co-ordinator-radiant-united-kingdom-36vzbjecdtvv) — United Kingdom
- [Principal/Staff Security Engineer](https://feeny.ai/job/principal-staff-security-engineer-radiant-united-kingdom-2w2a2xkg3yrb) — United Kingdom
- [IT Operations Systems Assistant](https://feeny.ai/job/it-operations-systems-assistant-radiant-london-zaf5bg0tjhmv) — London, United Kingdom
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-radiant-london-pspqjafe9wf8) — London, United Kingdom
- [Senior SDET](https://feeny.ai/job/senior-sdet-radiant-london-a1ntjwc259nj) — London, United Kingdom
- [Senior Backend Software Engineer](https://feeny.ai/job/senior-backend-software-engineer-radiant-london-by21pkgzm1p1) — London, United Kingdom
- [Principal Backend Software Engineer](https://feeny.ai/job/principal-backend-software-engineer-radiant-london-hevha70mj5tv) — London, United Kingdom
- [Lead Platform Infrastructure Product Engineer](https://feeny.ai/job/lead-platform-infrastructure-product-engineer-radiant-london-jtkzzhkc3ma2) — London, United Kingdom