Cloud Platform Engineer

Department: Technology

Employment Type: Permanent - Full Time

Location: London

Reporting To:

Design the Platform Behind Every Product, Data Insight and AI Innovation

As a sole contributor, you'll Lead the design and operation of a modern multi-cloud platform that underpins engineering, data and product teams across the business.

You will:

• Create self-service platforms, golden paths and developer tools that enable teams to ship quickly without managing cloud complexity.
• Build AI-ready infrastructure, guardrails and automation that support both human engineers and autonomous AI agents.
• Champion a zero-trust, secure-by-default approach across identities, networks, workloads and data
• Partner with data teams to optimise cloud data platforms, pipelines and analytics environments that power business-critical insights.

• 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.

• 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 platforms, self-service golden paths and platform-as-a-product to abstract away cloud complexity for engineering teams.
• Practical experience using AI agents / LLM-based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely.
• Strong security engineering mindset with hands-on zero-trust experience across identity,…