IT & Software

Senior Cloud Platform Engineer

Liberis

London · Greater London · United Kingdom

Overview

In this Senior Cloud Platform Engineer role, you’ll help Liberis scale its AI-enabled cloud platform across GCP and existing Azure services. You’ll build shared infrastructure and developer tooling used by product teams, advancing AI-powered capabilities and guardrails. The role emphasizes hands-on engineering, cross-team collaboration, and driving practical AI adoption with measurable impact. You’ll contribute to a migration mindset from Azure to GCP and shape how AI tooling is used across the platform.

Pay / Benefits
  • hybrid working policy
  • Real Living Wage employer
  • career development opportunities
  • global team in multiple locations
  • collaboration with cross-functional teams
  • dynamic fintech environment
Responsibilities
  • Build and maintain cloud infrastructure and tooling across compute, networking, CI/CD, and deployment on Kubernetes or Cloud Run
  • Champion AI agent adoption across the platform, prototyping and turning ideas into reusable capabilities
  • Develop foundations for AI agents including integrations with Claude and orchestration
  • Implement observability, guardrails, and cost controls for AI agents in production
  • Hands-on work with AI tooling/agent frameworks (Claude) and share learnings with the team
  • Manage infrastructure with Terraform for consistent, auditable environments
  • Contribute to Azure-to-GCP migration thinking, especially for AI tooling and agents
  • Collaborate with product engineers to lower AI adoption barriers, documenting templates and examples
Key requirements
  • Strong GCP experience (Azure experience is a plus)
  • Comfort with Docker and deployment on Kubernetes or Cloud Run
  • Infrastructure-as-code experience with Terraform
  • Proficiency in at least one of: .NET (C#), Node.js, or Python
  • Observability experience with Datadog or cloud-native tools (GCP Cloud Operations, Azure Monitor)
  • Track record of driving adoption and building developer-facing tooling/docs
  • Ability to lead technical decisions, collaborate across teams, and mentor engineers
  • collaboration across cross-functional teams
  • mentoring and technical leadership
  • clear documentation and communication
  • GCP (Google Cloud Platform)
  • Azure (experience beneficial)
  • Docker

Reference: WJ-747_30994710

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