Senior Cloud Platform Engineer - AI Enablement (GCP/Azure)

Liberis; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work policy

Real Living Wage employer

Global team locations

Job summary

Liberis is a growth-stage fintech building an embedded finance platform used by partners worldwide. The Cloud Platform team is expanding its AI-enabled shared infrastructure to support product engineering, data and AI tooling across GCP and Azure.

You will help scale AI‑driven capabilities, ensure safe, cost-aware operations, and empower engineers to ship faster with automation. You will work across .NET, Node.js and Python stacks, shaping how AI is adopted, building tooling, and driving

Qualifications

• Demonstrated ability to lead technical decisions across teams.
• Strong ability to write clear docs, templates and examples to drive adoption.
• Experience enabling AI agents and tooling in cloud platforms.

Responsibilities

• Build and maintain cloud infrastructure and tooling for product teams across compute, networking, CI/CD, and deployment on Kubernetes or Cloud Run.
• Champion AI agent adoption across the platform and prototype practical capabilities.
• Create integrations with Claude and other agent services and orchestrate them for production use.

Skills

Leadership

Mentoring

Cross-team collaboration

Documentation & evangelism

Tools

GCP

Azure

Docker

Kubernetes

Cloud Run

Terraform

Datadog

Claude

Job description

Liberis is a growth-stage fintech building an embedded finance platform used by partners worldwide. The Cloud Platform team is expanding its AI-enabled shared infrastructure to support product engineering, data and AI tooling across GCP and Azure.

You will help scale AI‑driven capabilities, ensure safe, cost-aware operations, and empower engineers to ship faster with automation. You will work across .NET, Node.js and Python stacks, shaping how AI is adopted, building tooling, and driving