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About the Role

Liberis is building the embedded finance platform for partners globally to offer innovative funding products to their small business customers. We are a growth-stage fintech focused on building a global Product, Data & Engineering team that thrives on autonomy, ownership, and impact. Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is undergoing an AI-first transformation, empowering teams to make decisions, move fast, and take full responsibility for their solutions. You will join a community where curiosity is encouraged and collaboration across Product, Data, Delivery, and Engineering is the norm.

Responsibilities

Build and maintain cloud infrastructure and tooling for product teams, including compute, networking, CI/CD, and deployment on Kubernetes or Cloud Run.
Champion AI agent adoption across the platform by identifying opportunities, prototyping, and developing supported, reusable capabilities.
Build foundations for AI agents, including integrations with Claude, tool/service orchestration, and management.
Implement observability, guardrails, and cost controls for AI agents and tooling to ensure safe and predictable production environments.
Work hands-on with AI tooling and agent frameworks like Claude, sharing learnings with the wider team.
Manage infrastructure using Terraform for consistent, auditable, and reproducible environments.
Contribute to the Azure-to-GCP migration strategy, focusing on AI tooling and agents.
Partner with product engineers to reduce AI adoption barriers through documentation, templates, and examples.
Lead technical decisions, collaborate across teams, and mentor other engineers.

Requirements

Genuine enthusiasm for AI agents and a desire to adopt them effectively.
Keenness to learn and lead by doing, with a focus on building with tools like Claude rather than training models.
Strong GCP experience.
Comfort with containerization (Docker) and deployment on Kubernetes or Cloud Run.
Experience with Infrastructure-as-code using Terraform.
Proficiency in at least one of .NET (C#), Node.js, or Python.
Observability experience with Datadog or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor).
A track record of driving adoption by building engineer-used tools and effective documentation.
Comfortable leading technical decisions, collaborating across teams, and mentoring other engineers.

Skills

AI Agents
GCP
Azure
Docker
Kubernetes
Cloud Run
Terraform
.NET
Node.js
Python
Datadog
GCP Cloud Operations
Azure Monitor
Claude

Location

London
Nottingham
Atlanta
Stockholm
Munich
Mumbai

Work Type

Hybrid

Experience Level

Senior

About the Company

Founded in 2007.
Provided over $3bn of funding to small businesses.
Named in CNBC & Statista Top 150 UK Fintechs for 2025.
Global team with a presence in 6 key locations.
Over 290 innovative minds.
Celebrates over 27 nationalities.
Team members bring experience from over 740 previous companies.
Named as one of FinTech’s Finest 50 by Welcome to the Jungle.
Accredited Real Living Wage employer.