Lead DevOps Engineer London

Liberis Limited; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Liberis Limited is looking for a Lead DevEx Engineer to join their Cloud Platform Team in Greater London. In this role, you will bridge application development and platform engineering to create a scalable developer experience. Key responsibilities include evolving service template libraries and ensuring consistency across CI/CD pipelines.

Ideal candidates should have proficiency in .NET, Node.js, or Python, along with strong experience in GCP and CI/CD tools like GitHub Actions. The position supports hybrid working, requiring at least three office days a week.

Qualifications

• Proficient in at least one of .NET (C#), Node.js, or Python.
• Strong GCP experience; Azure experience is desirable.
• Hands-on experience with CI/CD pipeline templates.

Responsibilities

• Improve how engineers build, ship, and operate services.
• Own and evolve service template library for multiple languages.
• Build and maintain CI/CD pipeline templates.

Skills

.NET (C#)

Node.js

Python

GCP

CI/CD (GitHub Actions, Azure DevOps)

Docker

Kubernetes

Terraform

Datadog

Job description

Lead DevEx Engineer – Cloud Platform Team

We are a growth‑stage fintech building an embedded finance platform that enables partners worldwide to offer innovative funding products to small‑business customers. Our teams operate across London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, focusing on autonomy, ownership and impact.

About the Role

As a Lead DevEx Engineer you will improve how our engineers build, ship and operate services. This brand‑new role bridges application development and platform engineering, creating a consistent, scalable developer experience as we evolve our platform strategy.

Key Responsibilities

• Own and evolve the service template library for .NET, Node.js and Python – covering project scaffolding, dependency management, containerisation, local development setup and production configuration.
• Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, ensuring consistency across stacks and reusability across teams.
• Define and ship observability standards: structured logging, distributed tracing and alerting integrated into service templates so every new service is production‑ready from day one.
• Build the platform‑level observability layer using Datadog, incident.io, and/or GCP/Azure native logging and monitoring tooling.
• Contribute to an Azure‑to‑GCP migration strategy – assessing changes to developer tooling and service templates and building proof‑of‑concept work.
• Partner with product engineers to diagnose developer experience pain points and implement lasting solutions.
• Lead technical decisions on platform tooling: evaluate new tools, write ADRs and drive adoption across engineering teams.
• Mentor and support Cloud Platform team engineers and serve as a go‑to resource for product engineers working with platform tooling.

Interview Process

• Screening call with Internal Recruiter (30 minutes)
• Video interview with Hiring Manager (45 minutes)
• In‑person code‑pairing interview with an Engineering team member (1 hour)
• Video interview with the wider Liberis team (1 hour)

Required Qualifications

• Proficient in at least one of .NET (C#), Node.js, or Python – able to build, configure, and template production‑grade services.
• Strong GCP experience (Azure experience is desirable).
• Hands‑on experience designing reusable CI/CD pipeline templates in GitHub Actions or Azure DevOps.
• Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run.
• Observability experience with Datadog, incident.io, or cloud‑native logging and monitoring (GCP Cloud Operations or Azure Monitor).
• Infrastructure‑as‑code skills with Terraform.
• Track record of driving adoption – building tools that engineers use, writing documentation that is read.

Hybrid Working Policy

Team members are required to be in the office at least three days a week, but we also value flexibility and encourage collaboration and efficient workflow.