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.