via Greenhouse · 10 de septiembre de 2026 ·hace 9 días

Developer Experience - Engineering Manager

ebury
Madrid
Este anuncio proviene de Greenhouse
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<div class="content-intro"><p>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.</p>
<p>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.</p></div><p></p>
<p data-path-to-node="0"><strong data-path-to-node="0" data-index-in-node="0">Engineering Manager, Developer Experience (Platform &amp; AI)</strong></p>
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<p data-path-to-node="1,0,0"><strong data-path-to-node="1,0,0" data-index-in-node="0">Location:</strong> Madrid</p>
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<p data-path-to-node="1,1,0"><strong data-path-to-node="1,1,0" data-index-in-node="0">Work Model:</strong> Hybrid (4 days in-office / 1 day WFH)</p>
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<h3 data-path-to-node="3">About the Team</h3>
<p data-path-to-node="4">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.</p>
<p data-path-to-node="5">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.</p>
<h3 data-path-to-node="7">About the Role</h3>
<p data-path-to-node="8">You will lead this team as a <strong data-path-to-node="8" data-index-in-node="29">player-coach</strong>. 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.</p>
<p data-path-to-node="9">You will own two core mandates end-to-end—from design and architectural strategy through to day-to-day operations:</p>
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<p data-path-to-node="10,0,0"><strong data-path-to-node="10,0,0" data-index-in-node="0">The Delivery Platform (CI/CD &amp; Infrastructure)</strong></p>
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<p data-path-to-node="10,1,0"><strong data-path-to-node="10,1,0" data-index-in-node="0">The AI-Assisted Developer Platform</strong></p>
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<h3 data-path-to-node="12">In This Role, You Will</h3>
<h4 data-path-to-node="13">Own the Delivery Platform</h4>
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<p data-path-to-node="14,0,0"><strong data-path-to-node="14,0,0" data-index-in-node="0">Run CI/CD as a Product:</strong> Define and deliver against strict SLOs for the SDLC platform. Continuously innovate and propose infrastructure improvements based on developer feedback.</p>
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<p data-path-to-node="14,1,0"><strong data-path-to-node="14,1,0" data-index-in-node="0">Build Progressive Delivery into the Paved Path:</strong> 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).</p>
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<p data-path-to-node="14,2,0"><strong data-path-to-node="14,2,0" data-index-in-node="0">Evolve Observability &amp; Self-Service Infrastructure:</strong> 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.</p>
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<p data-path-to-node="14,3,0"><strong data-path-to-node="14,3,0" data-index-in-node="0">Elevate Quality Gates:</strong> Maintain shared test infrastructure and automated quality guardrails to keep change failure rates low—even as overall code volume grows through AI-assisted engineering.</p>
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<h4 data-path-to-node="15">Build the AI-Assisted Developer Platform</h4>
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<p data-path-to-node="16,0,0"><strong data-path-to-node="16,0,0" data-index-in-node="0">Operate Ebury’s Agent Harness:</strong> 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.</p>
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<p data-path-to-node="16,1,0"><strong data-path-to-node="16,1,0" data-index-in-node="0">Integrate AI Where It Pays Off:</strong> Deploy evaluated AI tooling into the SDLC for pull-request reviews, test generation, automated dependency/code migrations, internal docs, and incident summarization.</p>
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<p data-path-to-node="16,2,0"><strong data-path-to-node="16,2,0" data-index-in-node="0">Build Context Layers for Agents:</strong> Expose internal context via Model Context Protocol (MCP) servers over our software catalog, engineering standards, runbooks, ADRs, and internal docs.</p>
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<p data-path-to-node="16,3,0"><strong data-path-to-node="16,3,0" data-index-in-node="0">Implement Financial-Grade Guardrails:</strong> Engineer strict security guardrails tailored to a regulated financial institution, including sandboxed execution with egress controls, prompt-injection defenses, human-in-the-loop approval gates, and eval suites to prevent AI behavioral regression.</p>
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<p data-path-to-node="16,4,0"><strong data-path-to-node="16,4,0" data-index-in-node="0">Instrument the Entire SDLC:</strong> Track traditional DORA metrics alongside AI-specific telemetry (adoption rate, suggestion acceptance/reversal rates, agent session success, and review overhead).</p>
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<h4 data-path-to-node="17">Lead and Scale the Team</h4>
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<p data-path-to-node="18,0,0"><strong data-path-to-node="18,0,0" data-index-in-node="0">Hire &amp; Coach:</strong> Recruit, grow, and retain high-performing platform engineers while remaining hands-on enough to review designs and unblock technical obstacles.</p>
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<p data-path-to-node="18,1,0"><strong data-path-to-node="18,1,0" data-index-in-node="0">Lead with Evidence:</strong> Drive the product roadmap using developer research, adoption metrics, and satisfaction surveys rather than reactive ticket queues.</p>
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<p data-path-to-node="18,2,0"><strong data-path-to-node="18,2,0" data-index-in-node="0">Set Ebury’s AI Engineering Stance:</strong> Clear guidelines, permitted tools, and best practices that encourage fast experimentation within secure boundaries.</p>
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<p data-path-to-node="18,3,0"><strong data-path-to-node="18,3,0" data-index-in-node="0">Drive Enablement:</strong> Partner with Security, Compliance, and Core Engineering to ensure the safest path is always the fastest path through active documentation, training, and internal advocacy.</p>
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<h3 data-path-to-node="20">You Might Thrive in This Role If...</h3>
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<p data-path-to-node="21,0,0"><strong data-path-to-node="21,0,0" data-index-in-node="0">Platform Background:</strong> You have built or operated an Internal Developer Platform (Backstage or similar) at scale, backed by clear delivery and adoption metrics.</p>
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<p data-path-to-node="21,1,0"><strong data-path-to-node="21,1,0" data-index-in-node="0">Leadership Experience:</strong> You have managed engineering teams or served as a Tech Lead with formal hiring, coaching, and performance management responsibilities.</p>
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<p data-path-to-node="21,2,0"><strong data-path-to-node="21,2,0" data-index-in-node="0">Core Tech Stack Proficiency:</strong> Deep expertise in AWS/GCP, Terraform, Kubernetes, ECS/EKS, GitHub Actions, Python, and Linux.</p>
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<p data-path-to-node="21,3,0"><strong data-path-to-node="21,3,0" data-index-in-node="0">Hands-on Engineering Roots:</strong> Background in backend software development, enabling you to design and build custom platform tools alongside senior Staff Engineers.</p>
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<p data-path-to-node="21,4,0"><strong data-path-to-node="21,4,0" data-index-in-node="0">Daily AI User:</strong> You actively use coding agents daily and have brought AI tooling past the proof-of-concept stage into production (agent sandboxes, MCP servers, evaluation pipelines, or CI-integrated agents).</p>
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<p data-path-to-node="21,5,0"><strong data-path-to-node="21,5,0" data-index-in-node="0">Engineering Discipline:</strong> You are rigorous about foundational principles—trunk-based development, small batch sizes, version control hygiene, automated testing, and deep observability.</p>
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<p data-path-to-node="21,6,0"><strong data-path-to-node="21,6,0" data-index-in-node="0">Product Mindset:</strong> You measure platform success through data (DORA/SPACE frameworks) combined with qualitative developer research, pivoting strategy based on hard evidence.</p>
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<h3 data-path-to-node="23">Nice to Have</h3>
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<p data-path-to-node="24,0,0"><strong data-path-to-node="24,0,0" data-index-in-node="0">FinTech &amp; Regulated Industry Experience:</strong> Familiarity with SOC 2, GDPR, or the EU’s Digital Operational Resilience Act (DORA compliance framework).</p>
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<p data-path-to-node="24,1,0"><strong data-path-to-node="24,1,0" data-index-in-node="0">Open Source Contributions:</strong> Active contributions to platform or AI ecosystem projects (Backstage plugins, MCP servers, or agent tooling frameworks).</p>
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<p data-path-to-node="24,2,0"><strong data-path-to-node="24,2,0" data-index-in-node="0">Advanced AI System Knowledge:</strong> Hands-on experience with LLM evaluation pipelines, agent scoring frameworks, Spec-Driven Development, or tokenomics optimization.</p>
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<p></p><div class="

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