Requirements

Proven experience leading large-scale platform or infrastructure initiatives
Strong communication skills with the ability to influence technical and business stakeholders
Expertise in C# and Python, with experience building distributed systems
Deep Kubernetes knowledge including operators, custom schedulers, and multi-tenant cluster management
Experience with Docker, Terraform, and CI/CD pipelines in regulated environments
Experience with GPU infrastructure and platform optimisation
Experience operating MCP servers at scale, sandboxing technologies, and contributing to open-source projects

What you'll be doing

Driving the Core AI infrastructure roadmap aligned with the firm’s AI strategy
Leading build versus buy decisions for model serving and inference infrastructure
Designing and owning a centralised MCP gateway and collaborating with platform teams to provide MCP services
Collaborating with the open-source group to prioritize feature development in open-source products
Defining secure sandboxing approaches for autonomous AI agents
Leading and mentoring a team of product-focused engineers
Increasing developer adoption through SDKs, documentation, and self-service tooling

Highly competitive compensation plus annual discretionary bonus
Lunch provided via Just Eat for Business and access to a dedicated barista bar
35 days' annual leave
9% company pension contributions
Informal dress code with excellent work/life balance
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events
Experience days including all-expenses-paid outings ranging from Michelin-star dining to European day trips
Relocation support including concierge service and immigration assistance with all related costs covered