At a Glance
- Tasks: Design and implement next-gen AI-native cloud platforms with cutting-edge technologies.
- Company: Join Radiant, a leader in AI infrastructure backed by Brookfield.
- Benefits: Competitive salary, career growth, mentorship, and a supportive team culture.
- Other info: Dynamic environment with opportunities for innovation and collaboration.
- Why this job: Be at the forefront of AI infrastructure and make a real impact.
- Qualifications: Proven experience in infrastructure architecture and strong coding skills.
The predicted salary is between 63000 - 77000 £ per year.
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, enabling 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 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 environments.
- Advanced knowledge of Kubernetes fundamentals, 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
- Expertise in 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.
Principal Infrastructure Engineer - Platform employer: Radiant
Radiant is an exceptional employer for those looking to make a significant impact in the AI infrastructure space. With a startup culture that values adaptability and hands-on involvement, employees are encouraged to build and innovate rather than follow pre-existing protocols. The company offers unique opportunities for professional growth, a collaborative work environment, and the chance to set industry standards in safety and quality management while working on cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Infrastructure Engineer - Platform
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Radiant or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Radiant.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Radiant.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Radiant that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Principal Infrastructure Engineer - Platform
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Radiant.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Radiant and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Radiant
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Radiant uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
