Vice President, Full-Stack Engineer

Vice President, Full-Stack Engineer

We’re seeking a future team member for the role of Vice President, Full‑Stack Engineer to join our Trustee & Depositary (T&D) Engineering organization. This role is located in Manchester.

In this role, you’ll make an impact in the following ways:

• Design, develop, test, and maintain end‑to‑end full‑stack applications using modern technologies, frameworks, and engineering best practices across the full software development lifecycle
• Actively contribute as a POD team member, collaborating closely with engineers, product partners, and stakeholders to deliver shared outcomes using agile ways of working.
• Apply an AI‑first engineering mindset by leveraging automation and AI‑assisted development tools to improve code quality, testing, documentation, and delivery speed.
• Leverage AI/ML capabilities within full-stack applications, including integration of machine learning models, APIs, and AI-driven services to enhance user experience, automation, and decision-making.
• Promote high standards of software quality, security, and maintainability through code reviews, test automation, proactive technical‑debt management, and continuous improvement.
• Provide ongoing maintenance, troubleshooting, and enhancements for existing platforms, participating in deployment and release activities in line with established change controls.
• Design and implement AI-enabled backend services using Java-based ecosystems (e.g., Spring Boot) and integrate with AI/ML frameworks, LLM APIs, or internal AI platforms.

To be successful in this role, we’re seeking the following:

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience.
• Hands‑on experience in full‑stack software development, covering both front‑end and back‑end technologies.
• Strong experience with modern programming languages and frameworks such as Java, JavaScript/TypeScript, Node.js, HTML, CSS, and Angular (or similar frameworks), as well as familiarity with application frameworks and containerization technologies.
• Solid understanding of agile software development, automated testing, CI/CD pipelines, and secure software design; experience in financial services or securities processing is a plus.
• Practical experience integrating AI/ML capabilities into applications, such as working with REST-based AI services, large language model (LLM) APIs, or deploying lightweight ML models into production systems.
• Familiarity with AI/ML concepts and tools, such as prompt engineering, model evaluation, embeddings, vector databases, or orchestration frameworks
• Demonstrated ability to work effectively in cross‑functional teams, mentor junior engineers, and contribute to shared engineering standards and best practices.
• Strong teamwork, communication, and organizational skills, with a proactive mindset focused on ownership, quality, and continuous learning.
• Strong analytical and problem‑solving skills with the ability to operate effectively in complex and ambiguous environments.
• An AI‑first mindset with a passion for modern engineering practices, continuous improvement, and automation.