Senior Cloud Platform Engineer

Overview

In this Senior Cloud Platform role, you will help scale Liberis’ shared cloud infrastructure and tooling as we migrate to GCP and pursue an AI-first platform. You’ll work with cross‑functional teams to enable AI-powered capabilities and practical agent tooling that improve developer productivity and production safety. You’ll shape how AI is embedded across the platform, balancing speed, guardrails, and cost. This is a high-impact opportunity to drive a technology strategy that accelerates product delivery for small businesses.

Pay / Benefits

• hybrid working with in-office 3 days/week
• Real Living Wage employer
• global team across multiple locations
• career development opportunities
• collaborative culture
• flexibility and autonomy

Responsibilities

• Build and maintain cloud infrastructure and tooling across compute, networking, CI/CD, and deployment on Kubernetes or Cloud Run
• Champion AI agent adoption by prototyping and turning ideas into reusable capabilities for engineers
• Develop foundations for AI agents, including integrations with Claude and orchestration
• Integrate observability, guardrails, and cost controls into AI agents and tooling for production safety
• Hands-on work with AI tooling and agent frameworks (Claude) and share learnings with the wider team
• Manage infrastructure with Terraform to keep environments consistent, auditable, and reproducible
• Contribute to Azure-to-GCP migration thinking with a focus on AI tooling and agents
• Collaborate with product engineers to lower the barrier to using AI by writing docs, templates, and examples

Key requirements

• GCP experience (Azure experience is a plus)
• Containerisation (Docker) and deployment on Kubernetes or Cloud Run
• Infrastructure-as-code with Terraform
• Proficiency in at least one of .NET (C#), Node.js, or Python
• Observability experience with Datadog or cloud-native tools
• Track record of driving adoption and building consumable tools/docs
• Ability to lead technical decisions and mentor other engineers

• collaborative mindset
• strong communication and documentation skills
• ability to mentor and lead across teams
• GCP (and Azure familiarity)
• Docker and Kubernetes/Cloud Run
• Terraform

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