Cloud Platform Engineer; Senior​/Lead

Cloud Platform Engineer (Senior / Lead)

Department: Technology

Employment Type: Permanent - Full Time

Location: London

Reporting To:

About the role

We are looking for a hands‑on Senior / Lead Cloud Platform Engineer to shape and run the multi‑cloud foundation that our engineering, data and product teams build on everyday. This is a senior individual‑contributor / tech‑lead role at the heart of a modern hybrid‑cloud strategy.

Our goal is to make cloud infrastructure effectively invisible and commoditised for internal teams: engineers should ship through self‑service golden paths and a well‑designed internal developer platform, without needing to understand the underlying cloud plumbing. You will treat platform capabilities as products, with clear APIs, paved roads, strong defaults and great developer experience.

A defining part of this role is preparing our infrastructure for a future (or present) where some “engineers” are AI agents. You will design platforms, guardrails and interfaces that let both human engineers and autonomous AI agents provision, operate and optimise infrastructure safely — and you will use AI agents heavily yourself to automate and optimise day‑to‑day platform work.

Security is central, not an afterthought. You will help drive a zero‑trust approach across identity, network, workloads and data, ensuring the platform is secure by default for humans and machine/agent identities alike.

You will also work closely with our data function, helping design and optimise the data pipelines, data stores and large‑scale analytics infrastructure (for example Big Query and similar warehouses) that the business depends on.

• Design, build and operate our multi‑cloud and hybrid‑cloud platform across at least two of the top‑three providers (AWS, Azure and/or Google Cloud), plus on‑prem/hybrid connectivity where needed.
• Build and own an internal developer platform and self‑service “golden paths” that make cloud infrastructure feel invisible and commoditised for engineering, data and product teams; and their AI agents.
• Deliver everything as code: infrastructure‑as‑code, Git Ops, reusable modules, CI/CD pipelines and policy‑as‑code guardrails.
• Leverage AI agents extensively to automate and optimise platform work—provisioning, cost and performance optimisation, incident response, remediation and documentation.
• Prepare the infrastructure for AI agents as first‑class “engineers”: safe machine identities, scoped permissions, sandboxes, approval workflows and audit trails so agents can provision and operate infrastructure within tight guardrails.
• Embed a zero‑trust security model across identity, network, workloads and data for both human and machine/agent identities; secure by default, least privilege, secrets management and continuous compliance.
• Apply SRE practices—SLOs/SLIs, observability, capacity planning, resilience and blameless incident management—to keep the platform reliable and cost‑efficient.
• Partner with data engineering to design and optimise data pipelines, data stores and large‑scale analytics infrastructure such as Big Query, including query, cost and performance tuning.
• Mentor engineers, set technical direction and champion strong platform and security engineering standards across the organisation.

Essential requirements:

• Extensive hands‑on experience designing, building and operating production cloud infrastructure at senior or lead level.
• Multi‑cloud experience across at least two of the top three providers (AWS, Microsoft Azure and Google Cloud), including a recognised professional‑level cloud certification for each of those two providers (for example AWS Solutions Architect / Dev Ops Engineer Professional, Azure Solutions Architect / Dev Ops Engineer Expert, or Google Cloud Professional Cloud Architect / Dev Ops Engineer).
• Strong background in modern hybrid‑cloud architecture and connecting cloud with on‑prem/edge environments.
• Deep infrastructure‑as‑code and automation skills (e.g. Terraform/Open Tofu, Pulumi, Ansible), Git Ops and CI/CD, plus containers and orchestration (Docker, Kubernetes).
• Proven experience building internal developer…