Engineering Manager

WHAT YOU'LL DO

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.

The teams

- 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

KEY RESPONSIBILITIES

- 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.

YOUR PROFILE

- 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.

- 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

- Strong delivery and prioritisation skills across competing priorities.

- Comfortable working closely with product and other engineering leaders in an ambiguous, fast-moving environment.

- 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.

WHAT YOU BRING

- People leadership: Build strong teams and help engineers grow.

- Technical judgement: Challenge designs and guide trade-offs without owning every implementation detail.

- Execution: Create clarity and drive complex work to completion.

- Systems thinking: Understand how platform components and teams fit together.

- Operational mindset: Care about reliability, maintainability, and production quality.

- Ownership: Take responsibility for both team health and engineering outcomes.

- Curiosity: Learn new domains fast. GPUs, networks, and storage excite you rather than worry you.

- Builder mindset: Much here is not built yet, and you enjoy creating the process, not just running it.

QUALITIES WE LOOK FOR:

- Set the standard: Every single day, you spot opportunities to constructively shake things up

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

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