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Fannie Mae

Full Stack Software Engineer

Sorry, this job was removed at 12:10 p.m. (CST) on Thursday, May 28, 2026
In-Office
Chicago, IL, USA
In-Office
Chicago, IL, USA

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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

As a valued colleague on our team, you will collaborate with team in designing, producing, testing, or implementing moderately complex software, technology, or processes, as well as create and maintain IT architecture, large scale data stores, and cloud-based systems.
 

THE IMPACT YOU WILL MAKE

The Full Stack Software Engineer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

  • Independently determine the needs of the customer and create solution frameworks.

  • Design and develop moderately complex software solutions to meet needs.

  • Use a process-driven approach in designing and developing solutions.

  • Implement new software technology and coordinate end-to-end tasks across the team.

  • May maintain or oversee the maintenance of existing software.

Minimum Required Experiences:

  • 2 years experience across all phases of the Software Development Lifecycle (SDLC), including requirements analysis, design, development, testing, deployment, and maintenance.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
  • Strong backend development experience using one or more of the following languages: Java, TypeScript, Python.
  • Previous experience building reactive, component-based frontend applications using the Angular framework.
  • Proficiency in data modeling, schema design, SQL, and query optimization across relational and non-relational databases, including PostgreSQL and DynamoDB.
  • Hands-on experience with Git-based workflows and familiarity with CI/CD tooling, including Docker, Jenkins, Terraform, and AWS CloudFormation.
  • Extensive experience architecting and implementing cloud-native solutions on AWS, leveraging best practices for scalability, availability, and security.
  • Experience with using Microsoft Copilot, ChatGPT or alternate Gen AI tools for code generation, code reviews, applying coding standards, generating unit test cases, document generation, etc. during various phases of development life cycle.
  • Domain knowledge in Mortgage Banking, Bond Markets and/or other financial sectors in trading desk activities, front office trading desk support, financial risk analytics, P&L.
  • Basic understanding of key mortgage trading financial instruments like Mortgage Backed Securities (MBS), Mortgage Loans, Debt instruments, Derivatives – e.g. Swaps, Swaptions, Futures.

Desired Experiences:

  • Bachelor degree or equivalent

  • Experience with AWS Bedrock models in implementing Gen AI agents for use cases.

  • 10+ years software development experience across the appropriate platform.

  • Professional certification(s) desired.

  • Backend Development including NodeJS, Python, Java, SpringBoot.

  • Familiary with Tools such as Intellij, VSCode, DBeaver, Postman, Putty.

  • Frontend Development experience including Angular - NgRx, RxJS, TypeScript, JavaScript.

  • Database experience including SQL, DynamoDB, Postgres, Oracle, writing and optimizing SQL.

  • AWS services experience including Lambda, S3, Step Functions, Glue, EC2, ECS, CloudFormation, RDS, CloudWatch, Redshift, AWS CLI.

  • Development Testing / experience Unit Test & Automation experience including Jest, Junit, Mockito, Cypress, Cucumber. 

  • DevOps experience including Docker, Git, Jenkins, GitLab.

  • Experience with using Microsoft Copilot, ChatGPT or alternate Gen AI tools for code generation, code reviews, applying coding standards, generating unit test cases, document generation, etc. during various phases of development life cycle.

Target Pay Range: $123,000.00 - $161,000.00 a year

Internal Job Title: Capital Markets - Software Engineering - Senior Associate
#LI-JM1
#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:

123000

to

161000

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