Senior Cloud Platform Engineer - AI-Enabled, GCP

Liberis; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work policy

Office in London

Job summary

Liberis is building an AI-enabled cloud platform across GCP and Azure, with a focus on AI tooling and secure, scalable infrastructure. We’re looking for a Senior Cloud Platform Engineer to help design, implement, and operate shared infrastructure and developer tools used by product teams.

You’ll work across compute, networking, CI/CD, and Kubernetes-based deployments, champion AI agent adoption, and help with Terraform-based IaC and observability.

Qualifications

• Proven experience with cloud platforms (GCP) and migrations from Azure or similar.
• Experience with containerisation (Docker) and orchestration (Kubernetes/Cloud Run).
• IaC experience using Terraform or similar tools.
• Proficiency in at least one language: .NET (C#), Node.js, or Python.
• Observability tooling experience (Datadog, Cloud Operations).
• Track record of driving adoption and writing developer-facing docs.

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 and prototype reusable capabilities.
• Develop foundations for AI agents including Claude integrations and orchestration.
• Implement guardrails, observability, and cost controls for AI tooling in production.
• Collaborate with product engineers, write docs, templates, and examples to drive adoption.

Skills

GCP experience

Docker

Terraform

Kubernetes

Datadog / Observability

AI enablement mindset

Technical leadership

Documentation & adoption

Tools

GCP

Azure

Terraform

Docker

Kubernetes

Cloud Run

Datadog

Claude integration

Job description

Liberis is building an AI-enabled cloud platform across GCP and Azure, with a focus on AI tooling and secure, scalable infrastructure. We’re looking for a Senior Cloud Platform Engineer to help design, implement, and operate shared infrastructure and developer tools used by product teams.

You’ll work across compute, networking, CI/CD, and Kubernetes-based deployments, champion AI agent adoption, and help with Terraform-based IaC and observability.