Full Stack Engineer (Java, Spring Boot, Angular & AI)

Why Join Us You'll play a key role in evolving Morgan Stanley's Structured Products technology platform, solving complex engineering challenges at scale, influencing strategic technology decisions, and working with a team that is actively adopting AI-enabled engineering practices to improve how software is designed, delivered, and supported. AI-Assisted Engineering Our team is investing heavily in AI-assisted engineering, and we place particular value on engineers who bring: Applied use of generative AI tools to improve software engineering productivity, quality, and delivery outcomes.

Full Stack Engineer (Java, Spring Boot, Angular & AI)

Institutional Securities Technology (IST) Equity Structured Products Trading (ESPT) Technology

Location: New York, NY | Employment Type: Full-Time Consultant

Core Technologies: Java Spring Boot Angular TypeScript Microservices Event-Driven Architecture Distributed Systems AI-Assisted Development

About the Role

We are seeking a hands-on, Full Stack Engineer to join Morgan Stanley's New York based ESPT Technology team, building and modernizing mission-critical platforms for Equity Derivatives and Structured Products businesses. You will design and deliver scalable systems across front-office trading, trade capture, post-trade processing, and lifecycle management workflows, partnering directly with Trading, Sales, Operations, Risk, Strats, and Technology partners.

The ideal candidate pairs deep Java and Angular engineering with strong distributed-systems design and a proven ability to leverage AI-assisted development to accelerate delivery. This is a senior individual-contributor role for an engineer who enjoys solving complex business and technical problems while shaping architecture, engineering standards, and platform strategy.

What You'll Do

• 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.
• Drive modernization of legacy applications toward microservices, event-driven, and modern platform architectures, improving resiliency, scalability, and observability.
• Apply AI-assisted development tools responsibly across the SDLC, including coding, testing, documentation, code review, troubleshooting, and workflow automation.
• Translate business needs from Trading, Sales, Operations, Risk, and Compliance into robust technical solutions and deliver strategic and regulatory commitments.
• Provide technical leadership during production incidents, troubleshoot complex distributed-systems issues, and drive continuous improvement in monitoring and stability.

What You'll Bring

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related discipline.
• 5 8 years of professional software development experience.
• 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.
• Commitment to engineering excellence, including clean design, high-quality code, automated testing, code reviews, documentation, and continuous improvement of development practices.
• Solid grounding in data structures, algorithms, software design, relational databases, and SQL.
• Track record of delivery in Agile environments, with strong analytical skills, clear communication across technical and business audiences, and a strong ownership mindset.
• Ability to operate independently in a fast-paced front-office environment, balancing delivery speed, system resiliency, production stability, and risk/control awareness.

AI-Assisted Engineering

Our team is investing heavily in AI-assisted engineering, and we place particular value on engineers who bring:

• Applied use of generative AI tools to improve software engineering productivity, quality, and delivery outcomes.
• Practical experience with prompt engineering and workflow automation that improves engineering effectiveness.
• Curiosity and a strong willingness to adopt emerging technologies that enhance software engineering.

Tech Stack

• Backend: Java 11+, Spring / Spring Boot, REST APIs, microservices, messaging / event-driven architectures, distributed systems
• Frontend: Angular, TypeScript, HTML5, CSS, modern UI frameworks
• Engineering Excellence: Git, CI/CD pipelines, automated testing & test automation, code review, performance optimization

Preferred Qualifications

Experience in one or more of the following is highly desirable:

• Domain: Structured Products, Equity Derivatives, Front-Office Trading Systems, Lifecycle Management, Trade Processing, Risk Management, Investment Banking Technology
• Platform: Kafka or similar messaging, containerization & orchestration, cloud platforms, observability & monitoring

Why Join Us

You'll play a key role in evolving Morgan Stanley's Structured Products technology platform, solving complex engineering challenges at scale, influencing strategic technology decisions, and working with a team that is actively adopting AI-enabled engineering practices to improve how software is designed, delivered, and supported.