Software Engineer, Professional (Salesforce / AI Enabled)

Freddie Mac • McLean, VA

1d

About The Position

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac is seeking a talented and motivated AI-enabled Developer Professional to join our product delivery team. In this role, the individual will be responsible for the design, development, testing, and implementation of Salesforce enhancements across Service Cloud, Sales Cloud, and Salesforce Experience Cloud. The role also involves building scalable, resilient microservices using MuleSoft that integrate seamlessly with internal Freddie Mac systems. You’ll be at the forefront of AI-assisted development, helping our team invent new ways to build software faster and smarter. We value creativity, experimentation, and speed—your work will directly impact our product and culture. If you want to learn, grow, and ship real projects with AI as your co-pilot, this is the role for you. Ready to vibe with us? Apply now and show us how you use AI to build! Our Impact: The Single Family BTO is responsible for technology strategy, delivery and ongoing support for Freddie Mac’s CRM applications and services. Our focus is on continuing the mission to transform our systems and processes into resilient, efficient, and flexible platforms by adopting innovative, cloud-native solutions to support industry needs and aligning with our corporate mandates and data strategy! Your Impact: The individual will contribute to improving DevOps processes to increase efficiency and streamline delivery. You will serve as a key builder for rapid prototypes, MVPs, and experimental web tools, leveraging modern AI coding assistants such as ChatGPT, Claude, and GitHub Copilot, alongside hands-on Salesforce and MuleSoft development. The role also requires leveraging Java, Unix, and Python scripting as needed to support the platform. If you are a confident, self-motivated professional with a passion for learning and collaboration, Freddie Mac offers an exciting opportunity to grow and make an impact. AI-assisted engineering is the primary focus, leveraging tools like GitHub Copilot and Copilot Chat to accelerate code generation, refactoring, documentation, and unit/integration test development. These tools also help reduce boilerplate, improve API client generation, and streamline data mappings. Best practices are established for AI-assisted coding, including reliable prompting patterns, “trust but verify” workflows through tests and reviews, and secure usage to prevent leaks of sensitive information. The team creates reusable prompt playbooks, templates for common tasks, and code review checklists tailored to AI-generated code. Developer productivity is enhanced through automation such as IDE workflows, repo templates, and CI checks enforcing quality gates. Core development involves building Salesforce features (Apex, LWC, Flows), MuleSoft APIs and integrations, and microservices, while implementing integration patterns across systems. Quality, security, and delivery are ensured through automated testing, secure coding practices, rigorous code reviews, and support for CI/CD pipelines and deployment processes.

Requirements

• 2- 4 years of professional development experience
• Strong hands-on experience with GitHub Copilot (or equivalent) in real delivery work: Demonstrated ability to use AI tools to speed up development without sacrificing quality
• Salesforce development experience: Apex, LWC, SOQL/SOSL, security model
• MuleSoft experience: Anypoint Studio, DataWeave, API design (RAML/OAS), API Manager
• Strong Java and Python skills; experience building REST APIs and microservices
• Solid Git workflow knowledge and experience working with CI pipelines
• Experience defining team-wide AI coding standards and governance
• College Degree or equivalent experience; work towards advanced degree preferred

Responsibilities

• design, development, testing, and implementation of Salesforce enhancements across Service Cloud, Sales Cloud, and Salesforce Experience Cloud
• building scalable, resilient microservices using MuleSoft that integrate seamlessly with internal Freddie Mac systems
• contribute to improving DevOps processes to increase efficiency and streamline delivery
• serve as a key builder for rapid prototypes, MVPs, and experimental web tools, leveraging modern AI coding assistants such as ChatGPT, Claude, and GitHub Copilot, alongside hands-on Salesforce and MuleSoft development
• leveraging Java, Unix, and Python scripting as needed to support the platform
• accelerate code generation, refactoring, documentation, and unit/integration test development
• create reusable prompt playbooks, templates for common tasks, and code review checklists tailored to AI-generated code
• build Salesforce features (Apex, LWC, Flows), MuleSoft APIs and integrations, and microservices, while implementing integration patterns across systems
• ensure quality, security, and delivery through automated testing, secure coding practices, rigorous code reviews, and support for CI/CD pipelines and deployment processes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees