VP Full-Stack Engineer: AI-Driven, Scalable Trading Platform

Morgan Stanley; Greater London; Hybrid; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Flexible working arrangements

Global teams & exposure

Job summary

Morgan Stanley is seeking a hands-on Full Stack Engineer (VP‑level) in London to join the EDT Technology team. You will design and deliver scalable front-office and post-trade platforms, partnering with Trading, Sales, Operations, Risk, and other global teams.

You will lead architecture discussions, modernize legacy apps toward microservices, and apply AI-assisted development tools to accelerate delivery while mentoring engineers across regions.

Qualifications

• 7+ years of professional software development experience, including leading technical delivery and mentoring engineers.
• Extensive hands-on Java development and strong experience building modern web applications with Angular and TypeScript.
• Proven experience designing and supporting large-scale distributed systems, RESTful services, and microservice architectures.

Responsibilities

• Own end-to-end technical delivery for complex initiatives, from requirements analysis and architecture through implementation, testing, production rollout, and ongoing support.
• Design, build, and maintain scalable enterprise applications, APIs, and user interfaces using Java, Spring Boot, and Angular across front-office and post-trade workflows.
• Develop high-performance distributed systems that process large volumes of business-critical transactions, and lead architecture and design reviews across strategic platforms.

Skills

Java

Angular

Distributed systems

Education

Bachelor in CS

Tools

Spring Boot

REST APIs

Git

Kubernetes

Job description

Morgan Stanley is seeking a hands-on Full Stack Engineer (VP‑level) in London to join the EDT Technology team. You will design and deliver scalable front-office and post-trade platforms, partnering with Trading, Sales, Operations, Risk, and other global teams.

You will lead architecture discussions, modernize legacy apps toward microservices, and apply AI-assisted development tools to accelerate delivery while mentoring engineers across regions.