Lead DevEx Engineer

In this role you will lead efforts to improve how engineers build, ship, and operate services by shaping reusable templates and platform tools. You’ll bridge app development and platform engineering, shaping a scalable developer experience as Liberis' platform evolves. You’ll contribute to AI-enabled platform initiatives and establish production-ready standards across teams. This is a high-impact opportunity to influence engineering practices and tool adoption in a growth-stage fintech. Join a collaboration-driven, autonomous team focused on delivering impact at scale.

• hybrid work policy requiring in-office presence at least 3 days/week
• focus on career development and progression opportunities
• global, diverse team culture
• Real Living Wage employer
• engagement with AI-first engineering transformation
• global offices in multiple locations

• Own and evolve the service template library for .NET, Node.js, and Python, covering scaffolding, dependencies, containerisation, local dev setup, and production config
• Build and maintain CI/CD templates in GitHub Actions and/or Azure DevOps, standardized across stacks
• Define and ship observability standards (logging, tracing, alerting) integrated into templates for production readiness
• Work hands-on with Datadog, incident.io, and cloud-native logging/monitoring tools to build the platform observability layer
• Contribute to Azure-to-GCP migration thinking, assess tooling changes, and build proof-of-concept work
• Collaborate with product engineers to identify and fix root causes of developer experience issues (slow pipelines, confusing templates)
• Lead technical decisions on platform tooling, evaluate new tools, write ADRs, and drive cross-team adoption
• Mentor engineers in the Cloud Platform team and support product engineers in adopting platform tooling

• Proficient in at least one of .NET (C#), Node.js, Python
• Strong GCP experience; Azure experience is a plus
• Hands-on experience designing reusable CI/CD templates (GitHub Actions or Azure DevOps)
• Experience with containerisation (Docker) and deployment on Kubernetes or Cloud Run
• Observability tooling experience (Datadog, incident.io, or cloud-native logging/monitoring)
• Infrastructure-as-code with Terraform
• Proven track record of driving adoption and creating readable docs

• Collaboration across multidisciplinary teams
• Problem solving with root-cause focus
• Mentoring and coaching
• .NET (C#)
• Node.js
• Python