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Software Engineer, Professional (Salesforce / AI Enabled)

Freddie MacMclean, VA

$103,000 - $155,000 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Compensation
$103,000-$155,000/year
Benefits
Paid Vacation

Job Description

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.

Qualifications:

  • 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.

Keys to Success:

  • Measurably improved delivery speed (cycle time) through effective Copilot usage.

  • High-quality PRs: strong test coverage, low defect leakage, maintainable code.

  • Clear AI-assisted development guidelines adopted by the team.

  • Reduced repetitive work via scaffolding, templates, and automated checks.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $103,000 - $155,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Automate your job search with Sonara.

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FAQs About Software Engineer, Professional (Salesforce / AI Enabled) Jobs at Freddie Mac

What is the work location for this position at Freddie Mac?
This job at Freddie Mac is located in Mclean, VA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Freddie Mac?
Candidates can expect a pay range of $103,000 and $155,000 per year.
What employment applies to this position at Freddie Mac?
Freddie Mac lists this role as a Full-time position.
What experience level is required for this role at Freddie Mac?
Freddie Mac is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Freddie Mac for this role?
Freddie Mac offers Paid Vacation for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Freddie Mac?
You can apply for this role at Freddie Mac either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.