Software Engineer Professional

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.

Freddie Mac is seeking a Software Engineer, Professional to drive technical delivery and engineering excellence for one or more agile delivery teams. This role is ideal for a hands‑on engineer who partners with Product, Architecture, Platform/Dev Ops, and Security to deliver modern, secure, cloud‑based solutions.

You will help teams deliver resilient and maintainable software by translating requirements into sound technical designs, implementing high‑quality code, and ensuring solutions are observable and supportable in production.

Apply and learn why there is #Moreat Freddie Mac !

Enterprise Business Technology Office (EBTO) supports multiple verticals by crafting and creating solutions to a variety of technology challenges. This support takes many forms, including delivering automation solutions by building and enhancing software applications using Business Process Management and Low Code Application Platforms required for Internal Audit, Legal and various other divisions at Freddie Mac.

Enterprise Business Technology portfolio delivers foundational technology capabilities that power secure, scalable, and innovative technology for the organization using best‑in‑class tooling and standards across multiple functional domains.

• Develop and Design scalable software solutions with a growing focus on cloud‑native architectures, particularly on AWS and other major cloud platforms
• Contribute to Engineering Excellence by adhering to and helping uphold high standards for code quality, testing, security, and performance
• Embrace Innovation by staying current with emerging technologies and methodologies, and applying them where appropriate
• Collaborate with Platform and Senior Engineering Teams to understand infrastructure decisions, tooling choices, and development workflows that optimize productivity and system efficiency
• Participate in the Full SDLC from requirements gathering through deployment and monitoring, delivering robust and maintainable solutions
• Technology Awareness—develop familiarity with a range of languages, frameworks, and tools, and contribute to technology selection discussions
• Contribute to Technical Direction by sharing ideas and participating in architectural discussions and planning sessions

• Typically 2-5 years of software engineering experience with a track record of delivering quality, production‑grade software
• College Degree or equivalent experience; work towards advanced studies/degree preferred.
• Working knowledge of distributed systems, microservices, and cloud‑native patterns, with a desire to deepen architectural expertise
• Cloud familiarity, particularly with core AWS services (EC2, Lambda, ECS, RDS, Dynamo
  
  DB, S3, Cloud Formation/CDK, etc.)
• Experience in testing strategies (unit, integration) and participation in code reviews
• Hands‑on experience with CI/CD pipelines, containerization, and infrastructure as code
• Experience collaborating with Dev Ops/Platform teams to deliver solutions that meet both developer and operational needs
• Exposure to multiple programming paradigms (OOP, functional) with proficiency in at least one primary language
• Experience across the stack— from backend services to data stores, with some frontend exposure
• Solid foundation in computer science fundamentals, algorithms, and data structures
• Security‑aware with a basic understanding of secure coding practices and cloud security fundamentals
• Clear communicator who can articulate technical concepts to peers and stakeholders
• Team player with experience working in agile, cross‑functional teams
• Platform Engineering Understanding
• Quality‑conscious mindset
• Ability to identify inefficiencies in development workflows and contribute ideas for improvement

• Exposure to multiple cloud platforms (Azure, GCP)
• Contributions to open‑source projects
• Familiarity with AI/ML concepts…