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 Stanleys New Yorkbased 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 Youll 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 Youll Bring
Bachelors degree or higher in Computer Science, Engineering, Mathematics, or a related discipline.
58 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.
