Radiant exists to redefine how AI infrastructure is built and operated at scale. We are creating a vertically integrated AI platform that brings together physical infrastructure, control planes, and cloud-native software to deliver abundance, control, and sovereignty in a world constrained by traditional hyperscaler models.
Our vision is to enable organisations to build, train, and deploy AI at national and global scale without surrendering control over performance, cost, or locality. This requires engineering systems that operate across software, hardware, and physical environments, and that remain reliable as scale and complexity increase.
We are scaling our engineering organisation now. Most of our engineering manager seats are open. You join, shape how the teams work, and grow with them.
As an Engineering Manager, you lead a team building and operating core parts of Radiant's cloud platform. You combine people leadership, technical judgement, delivery ownership and cross-functional collaboration. You work closely with product, infrastructure, SRE, security and other engineering teams.
This is a hands-on leadership role. It focuses on building strong teams, delivering reliable platform capabilities, and creating an environment where engineers do their best work.
We run engineering as ten streams in three groups. Each stream is a full team of about nine people: principal, senior and mid-level software engineers, an SDET, a DevOps engineer and a platform engineer. Each stream has its own engineering manager.
Infrastructure: Compute, Network, Storage, Cluster
Platform: Cloud, Infra, Observability, Security
AI: Training, Inference
You do not apply for a single stream. We hire strong managers first. Then we agree your stream with you, based on your strengths and interests. Your first stream is a starting point, not a fixed track. Moves between streams are normal here.
You lead one stream end to end: people, delivery and production.
Lead, coach and develop a team of about nine engineers across platform, infrastructure and distributed systems.
Own team execution across planning, prioritisation, delivery, 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.
Improve team effectiveness through clear ownership, healthy processes and strong cross-team collaboration.
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.
Manage technical risk, dependencies and delivery challenges across complex platform initiatives.
Bring AI-assisted engineering into daily work, within our guardrails.
Build a culture of ownership, pragmatism, operational excellence and continuous improvement.
Curiosity: you learn new domains fast. GPUs, networks and storage excite you rather than worry you.
Candour: you say what you think, with care. You welcome challenge to your own ideas.
Builder mindset: much here is not built yet. You enjoy creating the process, not just running it.
Pace with standards: you move fast and keep quality high.
Generosity: you make the people around you better. You give credit and share what you know.
Experience leading engineering teams building cloud platforms, infrastructure, developer tooling or distributed systems.
A strong technical background. You engage credibly in architecture and design discussions.
A good understanding of:
Cloud infrastructure: compute, storage, networking, Kubernetes, containers
Platform engineering: APIs, automation, IAM, observability, reliability
Distributed systems: scaling, consistency, failure handling
Engineering operations: incident response, capacity, performance, production ownership
Proven experience in people management, hiring, coaching and performance development.
Strong delivery and prioritisation skills across competing priorities.
Comfort working closely with product and other engineering leaders in an ambiguous, fast-moving environment.
The ability to balance technical quality, delivery speed, reliability and team sustainability.
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.
People leadership: you build strong teams and help engineers grow.
Technical judgement: you challenge designs and guide trade-offs without owning every implementation detail.
Execution: you create clarity and drive complex work to completion.
Systems thinking: you understand how platform components and teams fit together.
Operational mindset: you care about reliability, maintainability and production quality.
Ownership: you take responsibility for both team health and engineering outcomes.
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