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# Jr. Cloud Automation Engineer

- **Company:** Fannie Mae
- **Location:** Reston, VA, United States
- **Experience:** Starter
- **Salary:** $109,000.0 - $142,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Cloud Database, Databases, Continuous Integration, Data as a Services, DevOps, Distributed Systems, Amazon DynamoDB, Python (Programming Language), NoSQL, Cloud Services, SQL Databases, Systems Integration, Generative AI, Agentic-AI, Gitlab, Cloudformation, Containerization, Front End Software Development, Restful APIs, Terraform, Serverless Computing
- **Published:** October 15, 2026
- **Apply:** https://www.careerjet.com/job/usfdfc62b43d478577d14945035e0f0061/eaa

## About the Role

* Programming: Python and Java
 * Frontend frameworks : Angular
 * AWS: Hands-on with serverless, workflows, and data services (Lambda, Step Functions, S3, ECS etc.)
 * Databases: Experience with SQL and NoSQL (RDS, DynamoDB)
 * IaC: Terraform or CloudFormation in multi-account environments
 * CI/CD: GitLab pipelines and DevOps practices, * Ability to quickly ramp up in a complex enterprise cloud environment
 * Troubleshooting skills across distributed systems and pipelines
 * Effective collaboration across platform and application teams

 * Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Nice to Have:

 * Exposure to Restful API integrations
 * Generative AI, Agentic, and
 * Knowledge of Azure and GCP
 * Bachelor degree or equivalent

## Description

We are seeking a skilled Jr. Cloud Automation Engineer with knowledge and exposure to AWS and cloud-native technologies to support onboarding of use cases into the AutoMAEtion Hub and other enterprise platforms built on similar architectures. This role requires an engineer who can quickly integrate into an existing enterprise environment and drive automation, scalability, and operational excellence., * Onboard and integrate new use cases into the AutoMAEtion Hub platform and related cloud-based solutions.

 * Design, develop, and maintain automation workflows, scripts, and integrations using Python.
 * Build and optimize solutions by leveraging AWS services, including serverless and workflow orchestration.
 * Collaborate with platform, application, and infrastructure teams to ensure seamless onboarding and execution.
 * Troubleshoot and resolve issues across distributed systems, pipelines, and cloud services.
 * Contribute to improving platform capabilities, standardization, and reusable patterns.