Engineering Manager - DevOps & AI Platform

📋 Description

• Lead, grow and develop the people across two functions, DevOps and AI Platform, owning hiring
• Set the strategy and operating model for DevOps: release safety, developer experience
• Lead the AI Platform function as a centre of excellence, owning the people and operating model
• Act as a two-way conduit for the centre of excellence: disseminate best practice and reusable
• Partner with the AI Platform technical lead and senior engineers to shape technical direction
• Own the cost, scalability and efficiency of the infrastructure as volume grows, bringing a FinOps

🎯 Requirements

• A track record of managing DevOps, platform or infrastructure engineers, including hiring and
• An infrastructure background (cloud, IaC, CI/CD, observability) deep enough to make sound strategic
• Extreme curiosity about AI and budding hands-on experience with AI, agents and evaluations: not
• A strong interest in the nuances of the AI-assisted SDLC, and the conviction that tooling alone
• Kubernetes literacy, grounded in hands-on experience as an engineer, sufficient to reason about the
• AI fluency: candidates must be able to demonstrate practical, responsible use of AI in an

🎁 Benefits

• Hybrid working and the option to work from almost anywhere for up to 90 days per year
• £500 Remote working budget to set up your home office space
• $1,000 Learning & Development budget to use on anything (agreed with your manager) that
• Holidays: 25 days of annual leave + bank holidays
• An extra day for your birthday
• Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become