Summary:    

Join the Wealth Management engineering team building full-stack features that power portfolio and investment workflows for wealth managers on the Charles River Investment Management System (CR IMS). CR IMS helps wealth and investment firms manage more than $30 trillion in assets, supporting over 38,000 wealth management professionals globally. 

In this entry-level role, you will design and implement APIs and web UIs, contribute to code reviews and test automation, and learn how to ship reliable software in a collaborative Agile team. 

Responsibilities:  

• Under modest supervision, design, develop, test, and debug features and services that support wealth and investment management workflows 

• Implement and maintain backend APIs and web UI components using Java, JavaScript/TypeScript, React, SQL, and related technologies 

• Create and maintain automated tests (unit, integration, and UI where applicable) and support release quality through targeted manual verification when needed 

• Participate in peer code reviews and incorporate feedback to improve quality, readability, and maintainability 

• Contribute to the Agile delivery process (standups, planning, refinement, retrospectives) by providing estimates, status, and raising risks early 

Qualifications: 

 Education: 

• B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, or other technical course of study required 

Required Qualifications: 

• 0–2 years of professional software engineering experience 

• Proficiency in Java and/or JavaScript, with strong fundamentals in data structures, algorithms, and relational databases (SQL) 

• Ability to deliver small- to medium-scoped work items with moderate supervision 

• Effective written and verbal communication skills 

• Ability to work well with peers in a collaborative team environment 

• Experience working with Agile development methodologies 

Preferred Qualifications: 

• Experience with web UI development using React, API development using Spring Boot, containerization and orchestration using Docker and Kubernetes, event streaming using Kafka, AI-assisted software development tools such as GitHub Copilot and agentic AI tools, and C# and WinForms for occasional maintenance of legacy code 

• Experience with engineering and operational tools such as Dynatrace, SolarWinds, and the Temporal workflow engine 

• Experience in financial services developing solutions for portfolio management and trading 

• MS degree in Computer Science, Engineering, Mathematics, or a related technical field