Cloud Platform Engineer (AI)

Location: Hybrid, with a few days per week in the London office; applicants must already have the legal right to work in the UK without time restrictions and without future sponsorship.

Company

hirify.global provides independent financial information, ratings and market intelligence, including the UK’s largest financial product database and Star Ratings across insurance, banking, investments and pensions.

What you will do

• Design, build and operate multi-cloud and hybrid-cloud platforms across at least two of AWS, Azure and Google Cloud, with on-premises connectivity where needed.
• Build an internal developer platform, self-service golden paths and reusable developer tools for engineering, data, product teams and AI agents.
• Deliver infrastructure as code, GitOps, CI/CD pipelines, reusable modules and policy-as-code guardrails.
• Use AI agents to automate provisioning, optimisation, incident response, remediation and documentation, while preparing secure agent-operated infrastructure.
• Embed zero-trust security, machine identity, least-privilege access, secrets management, observability, resilience and cost optimisation.
• Partner with data engineering on pipelines, data stores and analytics infrastructure such as BigQuery; mentor engineers and set technical direction.

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 AWS, Microsoft Azure and Google Cloud, including a recognised professional-level certification for each selected provider.
• Strong modern hybrid-cloud architecture experience, including cloud connections to on-premises or edge environments.
• Deep infrastructure-as-code and automation skills with tools such as Terraform/OpenTofu, Pulumi or Ansible, plus GitOps, CI/CD, Docker and Kubernetes.
• Experience building internal developer platforms, self-service golden paths and platform-as-a-product capabilities.
• Practical experience using AI agents or LLM-based tooling to automate and optimise infrastructure, with interest in safe agent-operated environments.
• Hands-on zero-trust security experience across identity, networks, workloads and data, including secrets management, least-privilege IAM and machine or workload identity.
• Solid programming or scripting ability, such as Python or Go, together with observability, reliability and cost-optimisation practices.
• Must already hold unrestricted legal right to work in the UK without requiring future sponsorship.

Nice to have

• Site Reliability Engineering experience with SLOs, SLIs, error budgets and incident management.
• A third top-tier cloud certification or specialist security or Kubernetes certifications such as CKA or CKS.
• Data engineering experience with pipelines, data stores and large-scale infrastructure such as BigQuery, including query, cost and performance tuning.
• Experience preparing sandboxes, scoped machine identities, approval workflows and audit trails for autonomous or agentic workloads.
• Experience in a regulated or fintech environment.

Culture & Benefits

• Permanent, full-time position in the Technology department.
• Flexible hybrid working policy with several days per week in the office.
• Pragmatic, hands-on approach focused on automation and eliminating toil.
• Internal engineers, including AI agents, are treated as platform customers.
• Collaborative, security- and reliability-first environment with opportunities to lead and mentor.