Engineering Manager

About Radiant

There's no blueprint for the future. You'll embrace challenges and change

You're real and you're true to yourself

We cherish and celebrate diversity so you'll feel right at home whoever you are and whoever you're talking to, you treat everyone the same.

we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together.

Radiant is redefining how AI infrastructure is built.

We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments.

We are not building a generic cloud. We are building purpose-built AI infrastructure — from powered land, to compute, to software.

As we scale, we're building this organisation from the ground up. We're looking for people who'd rather build the playbook than inherit one — who are comfortable doing the work themselves as well as directing others, and who can adapt as fast as our strategy does. This is a startup model: attitude and adaptability matter more to us than years of experience or the size of the team you've previously managed.

Responsibilities

• As an Engineering Manager, you will lead a team building and operating a core part of Radiant's AI cloud, joining one of three teams: Network, Observability, or MLOps Training. We hire strong managers first, then agree your team with you based on your strengths and interests.
• You'll combine people leadership, technical judgement, delivery ownership, and cross-functional collaboration, working closely with product, infrastructure, SRE, security, and other engineering teams. Each team has around nine engineers: principal, senior and mid-level software engineers, an SDET, a DevOps engineer, and a platform engineer.
• This is a hands-on leadership role focused on building strong teams, delivering reliable platform capabilities, and creating an environment where engineers do their best work. Your first team is a starting point, and moves between teams are normal here.
• Network: the software behind our cluster fabrics and Managed Networks
• Observability: FlightDeck, our platform for observing and operating AI infrastructure
• MLOps Training: the platform customers use to train models on our GPU clusters, including Managed Kubernetes and Managed Slurm
• Lead, coach, and develop a team of around nine engineers across software, platform, DevOps, and test.
• Own delivery end to end: planning, prioritisation, quality, and operational readiness.
• Partner with Product to turn priorities into clear technical plans and achievable milestones.
• Provide technical leadership on architecture, reliability, scalability, and engineering trade-offs.
• Set strong engineering practices for design, testing, observability, documentation, and incident learning.
• Hire, onboard, and retain high-performing engineers. Hiring is a large part of the first year: expect around two hours a day on it.
• Support career development through regular feedback, coaching, and progression planning.
• Bring AI-assisted engineering into daily work, within our guardrails.
• APIs, automation, IAM, observability, reliability
• scaling, consistency, failure handling

incident response, capacity, performance, production ownership

• Strong delivery and prioritisation skills across competing priorities.
• Experience with GPU, HPC, or AI infrastructure is a bonus. Nobody has depth in every area above: tell us which you know and which you want to learn.
• Build strong teams and help engineers grow.
• Challenge designs and guide trade-offs without owning every implementation detail.
• Create clarity and drive complex work to completion.
• Understand how platform components and teams fit together.
• Take responsibility for both team health and engineering outcomes.

Requirements

• Experience leading engineering teams building cloud platforms, infrastructure, developer tooling, or distributed systems.
• Proven experience in people management, hiring, coaching, and performance development.
• A strong technical background: you engage credibly in architecture and design discussions.

compute, storage, networking, Kubernetes, containers

• Comfortable working closely with product and other engineering leaders in an ambiguous, fast-moving environment.
• Care about reliability, maintainability, and production quality.
• Learn new domains fast. GPUs, networks, and storage excite you rather than worry you.
• Much here is not built yet, and you enjoy creating the process, not just running it.
• Every single day, you spot opportunities to constructively shake things up

Benefits

• What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive.
• Here are just some of the great things you can expect from us:

25 days of annual leave

• A culture that emphasises results over hierarchy, process & ego:
• we place great emphasis on the quality, ingenuity and creativity of work.
• we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job.
• we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa.
• we're committed to building a sustainable business, so we encourage cycling to work.
• Gympass subscription to a variety of gyms and wellbeing apps
• Participation in the company shares program

Enhanced parental pay & leave

Our process: Talent screen → Hiring Manager → Technical interview (Principal Engineer and Engineering Lead) → Whiteboard Session → Final.