Developer Experience - Engineering Manager

About the role

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Engineering Manager, Developer Experience (Platform & AI)

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Location: Madrid

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Work Model: Hybrid (4 days in-office / 1 day WFH)

About the Team

The Developer Experience (DevExp) team builds and operates the foundational platform powering all engineering at Ebury—from CI/CD, deployment, and test infrastructure to self-service tooling and enterprise AI systems across the development lifecycle.

We treat our development process as a product, our engineers as customers, and success as measurable outcomes: lead time, change failure rate, and platform adoption. Our North Star is simple: driving modern SDLC evolution, scaling AI adoption safely, and maximizing developer autonomy across the business.

About the Role

You will lead this team as a player-coach. You will hire, mentor, and grow a team of platform engineers while staying technically grounded enough to drive direction on platform architecture, progressive delivery, and AI agent execution frameworks.

You will own two core mandates end-to-end—from design and architectural strategy through to day-to-day operations:

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The Delivery Platform (CI/CD & Infrastructure)

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The AI-Assisted Developer Platform

In This Role, You Will

Own the Delivery Platform

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Run CI/CD as a Product: Define and deliver against strict SLOs for the SDLC platform. Continuously innovate and propose infrastructure improvements based on developer feedback.

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Build Progressive Delivery into the Paved Path: Implement automated canary releases, real-time metric analysis, instant rollbacks, feature flag management, and safe database migrations across our AWS and GCP environments (Kubernetes, ECS/EKS).

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Evolve Observability & Self-Service Infrastructure: Provide developer self-service tooling in partnership with product engineering, including automated service scaffolding, a centralized software catalog with ownership scorecards, ephemeral PR preview environments, and standardized Terraform modules.

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Elevate Quality Gates: Maintain shared test infrastructure and automated quality guardrails to keep change failure rates low—even as overall code volume grows through AI-assisted engineering.

Build the AI-Assisted Developer Platform

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Operate Ebury’s Agent Harness: Build and run managed, sandboxed execution environments for coding agents (Claude CLI, Gemini CLI, and emerging successors) featuring isolated Git worktrees, short-lived scoped credentials, session audit logs, and multi-model routing to prevent vendor lock-in.