Software Engineering Senior

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:

Are you looking for an opportunity to join our fast paced and passionate team that supports multiple IT applications built on various technologies with continuous modernization in progress? Then read on! We are the Modern Delivery Tool Chain (MDTC) team accountable to lead continuous improvement of operations, operational automation, and high availability for tools.

Our Impact:

We build and enhance software applications required for mandatory reporting of Freddie Mac’s mortgage loan data to Federal Housing Finance Agency.

Partner with Product and Business team members to ensure high quality product is developed and released into production. Work closely with Architecture, Stakeholders, Operations Partners, and Business Product teams to specify and refine solutions and practice. Evolve a DevOps culture to provide high quality, continuous operations, and ongoing support ensuring critical service level metrics, customer requirements and financial objective. Driver for modernization of Freddie Mac’s 5000+ customers to release small incremental changes to production at 5x pace.

Your Impact:

Design, build, and maintain CI/CD pipelines for microservices on AWS EKS and OpenShift, ensuring high-quality, reliable, and efficient software delivery.

Implement and manage Infrastructure as Code (Terraform, AWS CloudFormation) for AWS resources, including S3 buckets, MongoDB, and PostgresDB.

• Manage secrets and credential storage using HashiCorp Vault, AWS Secrets Manager, and CyberArk, with a focus on security and compliance.
• Deploy and manage containerized workloads on Kubernetes, leveraging Helm, Spinnaker, and Istio for robust orchestration and service mesh capabilities.

• Integrate Agentic AI solutions and automation agents to streamline processes, optimize workflows, enable intelligent decision-making, and drive enterprise adoption.

• Demonstrate advanced AI tool fluency, including prompt engineering, LLM integration, and the ability to quickly comprehend and leverage new AI technologies and tools.

• Collaborate with cross-functional teams in Agile environments to deliver new features and capabilities, taking ownership of technical solutions and accountability for results.

• Troubleshoot, enhance, and provide support for production applications and infrastructure, demonstrating proactive problem-solving from start to finish and facilitating appropriate hand-offs.

• Integrate observability and security tools such as Elasticsearch, Logstash, Kibana, OPA, and HPA, establishing data-driven metrics to track pipeline performance, deployment velocity, and feature functionality.

• Practice Test Driven Development (TDD) and write comprehensive automated test scripts.

• Analyze system performance and application data to identify opportunities for optimization and improvement and measure success using data-driven insights.

• Document solutions thoroughly, translating complex technical capabilities into clear business value for technical and non-technical stakeholders.

• Utilize the Atlassian suite (Jira, Confluence, Bitbucket, etc.) for effective project management, collaboration, and documentation.

• Gather and synthesize developer feedback, helping to define what to build and contributing to the ongoing evolution of the product roadmap.

Qualifications:

• 5–7 years of experience in Agile development, DevOps, or cloud engineering roles.
• Bachelor's Degree or equivalent experience; advanced studies/degree preferred.
• Strong hands-on experience with CI/CD pipelines and Infrastructure as Code (Terraform, AWS CloudFormation).
• Deep knowledge of AWS services (EKS, S3, MongoDB, PostgresDB).
• Proficiency in Kubernetes, Docker, and container orchestration tools (Helm, Spinnaker, Istio).
• Experience with secrets management tools (Hashi Corp Vault, AWS Secrets Manager, CyberArk).
• Expertise with the Atlassian suite (Jira, Confluence, Bitbucket, etc.) for collaboration and workflow automation.
• Demonstrated experience building or integrating Agentic AI solutions, automation agents, or intelligent workflow systems, with a strong understanding of prompt engineering and LLM integration.
• Skilled in repository and package management (Bitbucket, JFrog Artifactory, Helm).
• Programming expertise in Python and Java.
• Strong analytical skills with experience in performance monitoring, data analysis, and process optimization.
• Excellent documentation, communication, and teamwork skills.
• Ability to quickly comprehend the functions and capabilities of new technologies and tools.
• Demonstrated ownership of problems, issues, or requests from start to finish.
• Ability to translate complex technical capabilities into clear business value, driving adoption and contributing to the product roadmap.
• Detail-oriented, analytical, and proactive problem-solver.
• Passion for learning new technologies, driving innovation, and thriving in fast-paced, Agile environments.
• Commitment to data-driven insights and continuous improvement.

Keys to Success in this Role:

• Takes accountability, sets expectations, and delivers high-quality technical solutions within agreed-upon levels of effort.
• Demonstrates strong analytical and troubleshooting abilities, owning problems, end-to-end.
• Thrives in fast-paced, Agile environments with curiosity and enthusiasm for Agentic AI and automation technologies.
• Measures success using data, establishes metrics for pipeline and deployment performance, and continuously seeks opportunities for optimization.
• Translates technical capabilities into business value, helping to define, build, and evolve solutions that meet enterprise needs.

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 timeFLSA 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 $129,000 - $193,000 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.