Engineering Manager for AI Cloud Platform

Academic Key

United Kingdom

On-site

GBP 90,000 - 130,000

Full time

9 hours ago
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Benefits offered by this job

25 days leave
Open culture and feedback
Learning time
Private medical insurance (Bupa)
Cycle to work
Gympass access

Job summary

Radiant in the United Kingdom is seeking an Engineering Manager to lead a nine-person team across software, platform, DevOps, and test. You will own delivery end-to-end, set engineering practices, and collaborate with product, SRE, security, and other engineering teams.

This hands-on leadership role emphasizes building strong teams, reliability, and performance across cloud infrastructure, Kubernetes, and AI tooling.

Qualifications

  • Experience leading engineering teams building cloud platforms or distributed systems.
  • Proven track record in hiring, coaching and career development.
  • Strong technical background and ability to contribute to architecture discussions.

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 translate priorities into clear technical plans and milestones.
  • Provide technical leadership on architecture, reliability, scalability, and trade‑offs.
  • Set strong engineering practices for design, testing, observability, documentation, and incident learning.
  • Hire, onboard, and retain high‑performing engineers.
  • Support career development through regular feedback and progression planning.
  • Bring AI‑assisted engineering into daily work within guardrails.

Skills

People leadership
Technical judgement
Execution
Systems thinking
Operational mindset
Ownership
Curiosity
Builder mindset

Tools

Kubernetes
Containers
Observability
Automation

Job description

Radiant in the United Kingdom is seeking an Engineering Manager to lead a nine-person team across software, platform, DevOps, and test. You will own delivery end-to-end, set engineering practices, and collaborate with product, SRE, security, and other engineering teams.

This hands-on leadership role emphasizes building strong teams, reliability, and performance across cloud infrastructure, Kubernetes, and AI tooling.

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