VP, AI-Driven Java Backend Lead

Morgan Stanley; United States; Presencial; USD 180.000 - 300.000; Jornada completa

Descripción de la vacante

Morgan Stanley is seeking a Java backend lead at Vice President level to drive AI-enabled, agentic software development in the Institutional Securities Technology group. You will architect scalable backend services using Java/Spring Boot, integrate with AI APIs, and design multi-agent workflows for robust, observable production systems.

The role emphasizes deep Java craftsmanship, microservices, and performance tuning, with opportunities to shape the future of AI-driven engineering within a

Formación

• 8–16 years of hands-on Java development.
• 1) Deep Spring Boot, microservices, REST APIs, messaging integrations.
• 2) Strong SQL, concurrency and distributed systems design; CI/CD and observability.
• 3) Experience in performance tuning and scalability.
• 4) Able to learn new technologies quickly.

Responsabilidades

• Develop Java backend services with Spring Boot and microservices.
• Build scalable APIs and messaging integrations (Kafka, JMS, RabbitMQ).
• Improve performance and scalability of systems.
• Implement CI/CD, DevOps, and production observability practices.
• Learn and apply new AI/agentic technologies as required.

Conocimientos

Java backend

Spring Boot

AI workflows

Problem solving

Distributed systems

Observability

DevOps

Multi-agent design

Performance tuning

Learning agility

Herramientas

Kafka

JMS

RabbitMQ

OpenAI API

Azure OpenAI

LangChain

LangGraph

Spring AI

Claude Agent SDK

Python

Descripción del empleo

Morgan Stanley is seeking a Java backend lead at Vice President level to drive AI-enabled, agentic software development in the Institutional Securities Technology group. You will architect scalable backend services using Java/Spring Boot, integrate with AI APIs, and design multi-agent workflows for robust, observable production systems.

The role emphasizes deep Java craftsmanship, microservices, and performance tuning, with opportunities to shape the future of AI-driven engineering within a