Engineering Manager (Identity)

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 (Identity Team) London Office - Hybrid: 4 days in the office, 1 day working from home As an Engineering Manager for the Identity Platform, you will lead the team responsible for building high-throughput, mission-critical authentication and authorisation controls. You will architect and scale platform services that define and govern permissions across human, service, and bot identities, ensuring a secure, seamless banking-and-payments experience across Ebury. Why This Role is Different Own Client Outcomes: Take real client problems end-to-end, owning experience, APIs, data, and iteration with full trust and autonomy. Player-Coach Early, Leader Always: Stay close to code early on (pairing, reviewing, shipping) and transition leverage into building people and systems as the team grows. Platform-First Thinking: Build scalable, generalisable platforms rather than bespoke one-offs. Value retiring technical debt and flags as much as shipping features. AI-Native Culture: Fluent in AI tools as force multipliers, guiding the team on effective adoption and designing AI into the product. Key Responsibilities Grow the Team: Coach engineers through actionable feedback, clear growth paths, and performance management. Delivery Ownership: Translate ambiguous business outcomes into clear roadmaps. Sequence work, manage risk, and deliver reliably at a sustainable pace. Technical Leadership: Guide architecture and design reviews for high-scale, event-driven transactional systems on AWS and BigQuery. Cross-Functional Partnership: Partner closely with Product, Design and Business Domains to shape customer solutions and influence strategic trade-offs. Operational Health: Ensure production-grade stability, humane on-call loads, testing standards, CI/CD, and strong observability. Responsible AI Adoption: Integrate AI tools into development workflows safely and effectively while maintaining complete ownership of shipped code. What We're Looking For Engineering Leadership: Proven experience managing and developing software engineering teams with a track record of mentorship and high delivery standards. Technical Depth: Solid CS foundation with hands-on credibility building/operating distributed systems at scale (AWS, event-driven architecture, APIs). Hiring Instincts: Ability to define an interview bar, run rigorous hiring processes, and close exceptional talent from scratch. AI Fluency: Hands-on usage of AI coding tools and strong opinions on…