Cloud Engineer Senior

At Freddie Mac our mission of Making Home Possible is what motivates us and its 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.

You are responsible for engineering automating and securing platform tools and secrets management infrastructure across enterprise environments. This role focuses on operational excellence for middleware platforms (Kafka AMQ Apigee Control-M) secrets lifecycle management (HashiCorp Vault AWS Secrets Manager) and driving AI-powered automation to modernize how platform services are provisioned monitored and governed.

We ensure the reliability security and operational efficiency of enterprise platform services that underpin hundreds of applications across Freddie Mac. By standardizing secrets management automating platform operations and leveraging AI for intelligent insights we reduce operational risk accelerate onboarding and enable teams to focus on delivering business value rather than managing infrastructure.

• Automate platform tool operations (Confluent Kafka Amazon MQ Apigee Control-M Athena Dynatrace) through Infrastructure as Code custom tooling and CI/CD pipeline integration.

• Design and implement AI-powered automation workflows using prompt engineering LLM APIs and agentic patterns to streamline platform operations anomaly detection and cost analysis.

• Build observability and operational dashboards for platform health cost allocation and adoption metrics across the tool portfolio.

• Standardize onboarding patterns for teams consuming platform services secrets provisioning connectivity.

• Support cloud migration efforts by ensuring platform tools are properly configured monitored and optimized in AWS environments.

• 5-7 years of experience in cloud infrastructure platform engineering or DevOps/SRE roles with production responsibilities; bachelors degree preferred.

• 35 years hands-on experience with secrets management platforms (HashiCorp Vault AWS Secrets Manager CyberArk) including policy authoring dynamic secrets and Kubernetes integration.

• Strong experience with AWS services in production (EKS IAM/IRSA S3 Secrets Manager CloudWatch Lambda) and Infrastructure as Code (Terraform CloudFormation Helm).

• Hands-on experience with at least 3 of the following: Confluent Kafka Amazon MQ/ActiveMQ Apigee API Gateway Control-M scheduling Dynatrace/APM.

• Proficiency in Python scripting and API automation building integrations data pipelines and operational tooling.

• Demonstrated experience with AI/ML tools and prompt engineering using LLM APIs (OpenAI-compatible Claude Bedrock) for automation code generation and operational intelligence.

• Experience with Kubernetes (EKS) service mesh (Istio) and container-based deployment patterns.

• Familiarity with CI/CD pipelines (Jenkins Spinnaker Gradle) and GitOps practices.

• Experience operating event-driven platform at scale topic/queue provisioning schema governance consumer group monitoring and capacity planning.

• Proven ability to build API-driven automation against platform management for inventory compliance and self-service workflows.

• Experience with agentic AI workflows RAG (Retrieval-Augmented Generation) and tool-calling patterns.

• AWS certifications (Solutions Architect DevOps Engineer or Security Specialty).

• Automate everything: treat manual processes as technical debt and build self-service patterns that scale.

• Stay hands-on: troubleshoot production issues build prototypes and iterate rapidly with working code.

• Leverage AI as a force multiplier: use prompt engineering and LLM integration to accelerate documentation analysis and automation development.

• Drive measurable outcomes with clear operational metrics (uptime mean-time-to-provision self-healing cost optimization savings).

• Partner effectively across security application and infrastructure teams to ensure smooth adoption of platform services and governance standards.

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 Macs 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 and register with our referral code: MAC.

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.