Engineering Manager (Full Stack & AI Enablement)

This senior leadership role is responsible for managing and growing high-performing engineering teams delivering secure, scalable and resilient digital solutions. You will provide technical direction across front-end, back-end, API, integration and cloud technologies, while driving the adoption of AI-enabled engineering practices. The role partners closely with business, product and design stakeholders to translate requirements into robust technical solutions.

A leading global financial services organisation with a large-scale digital banking and technology footprint. The company combines a strong heritage in banking with a commitment to innovation, engineering excellence and responsible use of technology. Its culture is built on respect, integrity, service, excellence and stewardship.

Responsibilities

• Lead and grow engineering teams, including Lead Engineering Managers, Software Engineers, QA Engineers and Scrum Masters, to deliver high-quality solutions on time and within budget.
• Oversee delivery timelines, team allocation, risk management and task prioritisation across multiple engineering initiatives.
• Mentor and develop talent through coaching, performance reviews, succession planning and structured feedback.
• Drive architecture reviews and ensure solutions are scalable, resilient, secure and maintainable.
• Drive adoption of AI-enabled engineering practices such as AI-assisted code generation, testing, documentation and knowledge management.
• Continuously improve engineering processes, tooling and developer experience to increase productivity and reduce technical debt.
• Enforce technology standards, promote reusable platforms and frameworks, and implement robust testing and peer review practices.
• Collaborate with business partners, product managers and designers to ensure a cohesive approach to product development.
• Manage and mitigate risks and strengthen controls, governance and operational resilience within the team's remit.
• Advise senior stakeholders on technical strategy, budgets and cross-functional alignment.

Requirements

• 14 to 25 years of overall experience in software engineering, with significant experience leading engineering teams.
• Strong hands-on expertise in Java, Spring Boot and Microservices Architecture.
• Experience with modern front-end frameworks such as Angular and React.
• Proven experience with API-led and event-driven architecture.
• Experience with cloud platforms, particularly AWS, and with DevOps, CI/CD, SRE and observability practices.
• Strong understanding of secure and resilient software engineering practices.
• Experience driving AI-enabled engineering with tools such as Copilot, Claude or enterprise AI platforms.
• Demonstrated ability to build inclusive, collaborative, high-performing teams and foster a culture of accountability and continuous learning.
• Strong stakeholder management, influencing and negotiation skills, with the ability to communicate effectively at senior levels.
• Strong analytical, problem-solving and strategic thinking capabilities.

Skills

Java, Spring Boot, Microservices Architecture, Angular, React, API-led and event-driven architecture, AWS, DevOps, CI/CD, SRE, and Observability, Secure and resilient software engineering practices, Copilot, Claude, Enterprise AI platforms