Software Engineering Senior (DevOps)

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.

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.

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.

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