Jr. Cloud Automation Engineer

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job 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.

Key Responsibilities

• 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.

Key Skills

• 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

Qualifications

• 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

Target Salary: $109,000 to $142,000 a year

Cloud Infrastructure - Software Engineering - Associate

#LI-Hybrid

Qualifications

Education:

Bachelor's Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

109000

to

142000