Developer Experience - Engineering Manager

Job description

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) Location: Madrid 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: The Delivery Platform (CI/CD & Infrastructure) The AI-Assisted Developer Platform In This Role, You Will Own the Delivery Platform 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. 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). 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. 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. <h4 data-path-to-node