Lead DevOps Engineer

Overview

In this role, you will lead initiatives to improve engineering experience by shaping platform templates and tooling. You will bridge application development and platform engineering to create scalable, production-ready templates and observability. You’ll influence platform strategy, contribute to AI enablement, and mentor engineers across teams. Your work helps Liberis accelerate delivery and adoption of robust, developer-centric solutions that scale.

Pay / Benefits

• Real Living Wage employer
• hybrid working policy (in-office 3 days a week)
• flexible culture

Responsibilities

• Own and evolve the service template library for .NET, Node.js and Python, including scaffolding, dependency management, containerisation, local development, and production config.
• Build and maintain CI/CD templates in GitHub Actions and/or Azure DevOps, standardized across stacks and teams.
• Define and ship observability standards (structured logging, tracing, alerts) integrated into templates for production readiness.
• Work hands-on with Datadog, incident.io, and/or GCP/Azure-native tooling to build the observability layer.
• Contribute to Azure-to-GCP migration thinking, building PoCs to inform tooling decisions.
• Partner with product engineers to identify and fix root causes of developer experience issues (slow pipelines, confusing templates, missing runbooks).
• Lead technical decisions on platform tooling, evaluate new tools, write ADRs, drive cross-team adoption.
• Mentor engineers in the Cloud Platform team and support product engineers in understanding platform tooling.

Key requirements

• Proficiency in at least one of .NET (C#), Node.js, or Python with production-grade service templating experience.
• Strong GCP experience; Azure experience is a plus.
• Hands-on experience designing reusable CI/CD templates (GitHub Actions or Azure DevOps).
• Containerisation experience (Docker) and deployment on Kubernetes or Cloud Run.
• Observability experience with Datadog, incident.io, or cloud-native monitoring (GCP Cloud Operations or Azure Monitor).
• Infrastructure-as-code experience with Terraform.
• Proven track record of driving tool adoption and producing documentation that is widely read.

• ownership
• collaboration across Product, Data, Delivery and Engineering
• curiosity and problem-solving mindset
• .NET (C#)
• Node.js
• Python

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