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 how teams best leverage AI for productivity and product capabilities.
Product & Quality Mindset: Focus on client value, pragmatic scoping, and high discipline around money-movement systems (idempotency, reconciliation).
Communication: Fluency in English with exceptional ability to articulate complex technical ideas and align cross-functional teams.
Identity and User Management: Have worked on scalable platforms that define and operate authentication and fine grained authorisation functions.
Nice to Have: Fintech/payments/regulated domain experience, experience on early founding hub teams, or web & mobile channel exposure.

What We Offer

Competitive Package: Strong base salary, performance-based bonus, and comprehensive benefits tailored to a senior leadership role.
Career Progression: Clear leadership paths, senior mentorship, and room to grow across technical and organisational domains.
Challenging Problems: The opportunity to work on complex, intellectually stimulating projects that have a significant and measurable business impact.
Premium Equipment: High-end MacBook Pro and the required tools.