Freddiemac

Freddiemac

Cloud Engineer Senior

McLean, VA · Senior · Full-time

Sponsorship not specified$122k-$184kDetected 1 day ago
PythonAWSCloud PlatformsKubernetesTerraformHelmCI/CDJenkinsDevOpsSite Reliability EngineeringPlatform EngineeringKafkaMachine LearningData EngineeringLLMsRAGAgentic AI

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33Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

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About the role

  • Automate platform tool operations (Confluent Kafka, Amazon MQ, Apigee, Control-M, Athena, Dynatrace) through Infrastructure as Code, custom tooling, and CI/CD pipeline integration.
  • Standardize onboarding patterns for teams consuming platform services - secrets provisioning, connectivity.

Responsibilities

  • 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.
  • Design and implement AI-powered automation workflows using prompt engineering, LLM APIs, and agentic patterns to streamline platform operations, anomaly detection, and cost analysis.
  • Support cloud migration efforts by ensuring platform tools are properly configured, monitored, and optimized in AWS environments.

Requirements

  • 3-5 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.
  • 5-7 years of experience in cloud infrastructure, platform engineering, or DevOps/SRE roles with production responsibilities
  • bachelor's degree preferred.

Nice to have

  • Experience operating event-driven platform at scale - topic/queue provisioning, schema governance, consumer group monitoring, and capacity planning.
  • Experience with agentic AI workflows, RAG (Retrieval-Augmented Generation), and tool-calling patterns.
  • AWS certifications (Solutions Architect, DevOps Engineer, or Security Specialty).
  • Keys to Success in this Role:
  • Leverage AI as a force multiplier: use prompt engineering and LLM integration to accelerate documentation, analysis, and automation development.
  • Current Freddie Mac employees please apply through the internal career site.
  • Please contact us to request accommodation.
  • A safe and secure environment is critical to Freddie Mac's business.

Compensation

  • Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs.

Benefits

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

Company info

  • 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.
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This listing is sourced directly from Freddiemac's careers page and normalized into a canonical job model.