Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend services, and integrations with database and ETL platforms.
Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures.
Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques
Design and build automations and tooling to enable firmwide data engineering and application development teams, helping them optimize data processing based on their specific database platforms and user needs.
Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency.
What you'll bring to the role
At least 4 years’ relevant experience would generally be expected to find the skills required for this role.
Proven track record in designing and implementing complex database and data solutions with full stack application development.
Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).
Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular.
Strong understanding of API design, microservices architecture, authentication mechanisms (OAuth, service principals, token-based authentication), and secure application development practices.
2+ years of expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus.
Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.
Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend, Kafka, and/or Informatica).
Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design.
Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.
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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.
Certified Persons Regulatory Requirements
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
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.
