Java Full Stack Engineer with AI-driven development exposure - Vice President

Vice President - Java Full Stack Engineer with AI-driven development exposure

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in Manchester.

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

• Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals.

• Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality).

• Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms.

• Establish best practices for secure, scalable, and resilient application design.

• Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies.

• Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices.

• Lead large-scale programs focused on velocity, reliability, and cost efficiency.

• Drive backlog prioritization, technical debt reduction, and vulnerability remediation

  
  

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

• Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred

• Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus.

• Strong Exposure and knowledge of front end technologies such as React and Angular

• Ability to solve ambiguous problems with scalable, innovative solutions.

• Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.