Engineering Manager

Who you are

• 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
• Proven experience as an Engineering Manager or in a similar leadership role, leading and supporting engineers
• Experience working in fintech or within the financial services industry
• Experience working in a multi-channel, multi-product driven environment
• Deep understanding of software development methodologies and best practices
• Experience with agile development processes
• Excellent communication, interpersonal, and leadership skills
• Strong problem-solving and decision-making abilities
• Passion for technology and innovation
• Experience building enterprise-level Identity, Access Management (IAM) platforms, Fine-Grained Access Control (FGAC) systems and defining authorisation policies
• Knowledge of advanced authentication techniques, such as device binding/attestation, and experience in consolidating fragmented user identities into a unified identity model
• Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes)
• Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill
• Experience with Domain-Driven Design (DDD) and standardising communication patterns in a centralised architecture

What the job involves

• 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
• 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
• 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

Benefits

• 25 days holiday (excl. bank holidays).
• Day off on your birthday.
• 12% total pension contribution (5% from you, 7% from Ebury)
• Personal Development Budget
• Full Private Medical Insurance (including Dental)
• Season Ticket Loan