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Morgan Stanley

Lead Java Engineer_ Vice President _Software Engineering

Reposted Yesterday
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In-Office
Mumbai, Maharashtra, IND
Expert/Leader
In-Office
Mumbai, Maharashtra, IND
Expert/Leader
The role involves leading Java development for a high-performance application, managing data architecture, ensuring system design, developing APIs, and collaborating across teams.
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Lead Java Engineer_ Vice President _Software Engineering 

We’re seeking someone to join our Cyber Data Risk & Resilience team as a Lead Software Engineer, in Firmwide Data Office technology to manage, develop and design the application using Java, Multithreading, Concurrency, Springboot, Microservices and System Design.

Data COE team is distributed and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineer position at Vice President Level, which is part of the job family responsible for developing and maintains software solutions that support business needs. 

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

  • Design, develop, and maintain core components of a high-performance application built around knowledge graph architecture.

  • Implement and optimize scalable backend solutions integrating with Graph database.

  • Develop and support APIs (both REST and GraphQL) to expose and manage application functionality efficiently.

  • Collaborate with cross-functional teams to ensure seamless data flow and performance through intelligent caching strategies.

  • Analyze, debug, and enhance existing components using modern Java practices, ensuring maintainability and reliability.

What you’ll bring to the role:

  • 12–18 years of hands-on experience in Java development with strong expertise in Core Java, Multithreading, and Object-Oriented Design.

  • Proficiency with Spring Framework, Spring Boot, and deep understanding of Spring Annotations and Java-based configurations.

  • Experience with Java 15 or later (Java 17 preferred).

  • Strong experience in designing and developing RESTful APIs; good working knowledge of GraphQL.

  • Deep understanding of distributed caching mechanisms, including Hazelcast, Caffeine, InCache, or Google Guava Cache.

  • Experience integrating with Graph Databases (preferably Stardog); additional knowledge of Apache Jena and SAPRQL is a strong plus.

  • Understanding of application security, authentication, and authorization best practices.

  • Experience with ZooKeeper for coordination and distributed systems management.

  • Strong understanding of system design principles, including scalability, fault tolerance, distributed systems, and performance optimization.

  • At least 6 years' relevant experience would generally be expected to find the skills required for this role.

Good to Have:

  • Experience or familiarity with Reactive Programming, especially using Spring WebFlux.

  • Hands-on knowledge of HTTP clients like OkHttp, WebClient, or similar.

  • Experience with or exposure to other graph databases or triple stores (e.g., Neo4j, Virtuoso, Blazegraph, RDF4J).

  • Working knowledge of Redis for caching or data storage.

  • Understanding of search and indexing systems similar to ElasticSearch used for building scalable and efficient search features.

  • Experience with analytical or relational databases, particularly in the context of data access and API integration.

  • Exposure to observability and monitoring tools such as Prometheus, Grafana, Loki, Kibana or Splunk.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Top Skills

Caffeine
Elasticsearch
Google Guava Cache
Grafana
Graph Databases
GraphQL
Hazelcast
Incache
Java
Kibana
Loki
Multithreading
Prometheus
Redis
Rest
Splunk
Spring Boot
Zookeeper

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