UI / Full Stack Developer

The Senior UI / Full Stack Developer will work closely with business and technology teams to deliver features for the Infolens data governance platform within Freddie Mac’s Investments & Capital Markets (I&CM) division.

This role focuses heavily on developing intuitive, data-rich UI experiences while also owning backend service development using Java and Spring Boot. The candidate will contribute across the full software development lifecycle, translating complex business and data governance requirements into scalable, user-friendly applications., * Design and develop responsive UI components and data visualization screens using React

• Build and maintain backend services using Java and Spring Boot
• Develop RESTful APIs supporting metadata management, data lineage, and enterprise integrations
• Translate business requirements into scalable full-stack solutions
• Collaborate with product owners, business teams, and stakeholders
• Create intuitive UI/UX experiences for complex data relationships
• Participate in design, coding, testing, deployment, and documentation activities
• Optimize applications for scalability, performance, and security
• Contribute to CI/CD pipelines and automated testing initiatives
• Improve engineering standards, code quality, and reusable architecture patterns, * Delivering high-quality, scalable UI experiences
• Owning end-to-end feature delivery across frontend and backend
• Translating data models into business-friendly applications
• Designing scalable APIs and reusable backend services

Driving engineering excellence and architecture best practices

• Bachelor’s or Master’s degree in Computer Science or related field
• 5+ years of full-stack software development experience

• Strong expertise in:

• Java
• Spring Boot
• REST APIs
• React.js

Experience integrating frontend applications with backend services

Strong understanding of:

• Microservices architecture
• Distributed systems
• Relational databases (PostgreSQL preferred)

Experience working in Agile environments

Strong analytical, communication, and problem-solving skills, * Data modeling

• Data lineage
• Metadata platforms

Knowledge of:

• Event-driven architecture
• Enterprise integration patterns
• Docker/Kubernetes
• CI/CD tools and pipelines
• Automated testing frameworks

Familiarity with graph-based or visualization-heavy UI applications

Experience in regulated or data-governance-heavy environments