Java Development Lead Vice President Software Engineering - Multiple Teams

Java Development Lead _ Vice President _Software Engineering

We're seeking someone to join our Morgan Stanley's Fund Services Technology team as Java Development Lead in Institutional Securities Technology division. Role in MSGR Tech team is responsible for the design and development of Java-based applications.
 

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.

Morgan Stanley's Fund Services (FS) Department, a wholly owned subsidiary (MSFS), provides comprehensive fund administration through a globally accessible technology platform

Within FS, the MSGR team manages trade-date reconciliation between Fund Books (MSPA), counterparty custodians, and client positions, supporting the Prime Brokerage and Fund Services business units.

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:

• Lead design, development, and delivery of scalable reporting and analytics solutions for a greenfield project, including build-vs-buy analysis and POCs.

• Architect solutions using Java, Angular, and related technologies, adhering to SDLC best practices.

• Collaborate with stakeholders to define requirements and align solutions with business objectives.

• Drive adoption of GenAI and AI-assisted development practices across design, coding, review, and testing.

• Mentor engineering talent and foster a culture of technical excellence.

• Manage stakeholder communication and proactively address project risks.

• Promote agile methodologies, automated testing, and CI/CD practices.

What you'll bring to the role:

• 10–14 years of software engineering experience, with strong expertise in Java (Spring Boot, REST APIs).

• Sound knowledge of data structures, algorithms, design patterns, and SDLC practices.

• Demonstrated experience delivering enterprise-scale applications.

• Working knowledge of additional languages/frameworks (Python, SQL, etc.).

• Practical experience applying GenAI/AI tools in development, testing, or automation.

• Strong analytical, problem-solving, and communication skills.

• Proven leadership of high-performing teams in a global environment.

• Experience with automated testing frameworks.

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.