Full Job Description
What you'll do in the role:
Morgan Stanley Services Group, Inc. is seeking an Associate, Software Engineer in Alpharetta, Georgia to Implement, design, and develop components of software projects within Mutual Funds Middle Office. Support AI-related mutual funds projects. Design and code reviews for software applications and projects. Utilize analytical and problem-solving skills to analyze database programs. Develop various aspects of software applications including UI, mid-tier services, and databases, working as part of a team. Ensure quality deliverables and deadlines are met by coordinating with various teams, such as business, QA, UAT, Operations, Application Support Group, and Infrastructure. Integrate with multiple vendor products and record keepers. Handle order generation, execution, and post-order processing across Wealth Management products. Perform code profiling, code review, and performance tuning.
What you'll bring to the role:
-Requires a Master's in Computer Science, Information Technology, or a related field of study.
-Requires three (3) years of experience in the position offered or three (3) years as a Full Stack Developer, Software Developer, or a closely related occupation.
- Requires three (3) years of experience with the following skills:
• Python and Java;
• JavaScript and TypeScript;
• SQL and NoSQL databases;
• Spring Framework including Spring Boot and Model-View-Controller (MVC);
• Front-end development using Angular, HTML, and CSS;
• RESTful web services design and integration;
• Microservices architecture;
• Containerization technologies including Docker;
• Version control systems including Git;
• CI/CD pipeline implementation including Teamcity and Jenkins;
• Unit and integration testing frameworks;
• Performance tuning and code optimization;
• End-to-end application development across User Interface (UI), mid-tier services, and database layers; and
• Ownership of application lifecycle including design, development, production release, and post-production support.
Requires one (1) year of experience with the following skills:
• Accelerate development workflows by leveraging generative AI and Large Language Model (LLM) tools including Github Copilot, ChatGPT, and Claude.
Expected base pay rates for the role will be between $136,000 and $136,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
