Senior Vice President, Full-Stack Engineer

Company: The Bank of New York Mellon
Apply for the Senior Vice President, Full-Stack Engineer
Location: London
Job Description:

Overview

As a Senior Java Full Stack Engineer at BNY, you will define the enterprise Java full stack strategy and drive modernization across platforms. You will champion AI-driven development and oversee end-to-end delivery for backend and frontend work in a cross-functional team. The role focuses on secure, scalable, and reliable designs while advancing cloud, microservices, and API-led architectures. You will collaborate with engineers, architects, and executives to deliver high-impact solutions in a fast-paced financial services environment.

Pay / Benefits

  • competitive compensation
  • flexible global resources and tools
  • focus on health and personal resilience
  • generous paid leaves
  • paid volunteer time
  • wellbeing programs

Responsibilities

  • Define and execute enterprise Java full stack technology strategy aligned with transformation goals
  • Champion AI-driven development practices (AI-assisted coding, automated testing, remediation, code quality)
  • Drive modernization initiatives including cloud migration, microservices, event-driven architectures, API-led platforms
  • Establish best practices for secure, scalable, resilient application design
  • Oversee end-to-end delivery of complex platforms across backend 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

Key requirements

  • Senior full stack engineer with Bachelor’s degree in computer science or related discipline, or equivalent work experience
  • Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling
  • Strong hands-on experience with AI Development tools like Claude CLI, Windsurf
  • Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus
  • Strong Java development skills, including multi-threaded and mission-critical applications
  • Strong exposure to frontend technologies such as React and Angular
  • Ability to solve ambiguous problems with scalable, innovative solutions
  • Clear communicator who can influence cross-functional partners
  • Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives
  • clear communication
  • cross-functional influencing
  • collaboration
  • Python
  • ML frameworks
  • LLM/GenAI tooling

…

Posted: September 14th, 2026