Lead AWS Software Engineer (AI and DevOps SME)

Fannie Mae


Job Location:

Reston, VA - USA

Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

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 act as a team lead in the designing producing testing or implementing software technology or processes as well as lead processes for creating and maintaining IT architecture large scale data stores and cloud-based systems.

THE IMPACT YOU WILL MAKE

The Lead AWS Software Engineer (AI and DevOps SME) 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 while identifying and resolving conflicting or complementary needs across customer groups.
  • Applying advanced skill knowledge and experience design and develop software solutions to meet customer needs.
  • Use a process-driven approach to leading design solutions.
  • Implement new software technology and coordinate simultaneous implementation tasks across teams

There isoneopening/sfor this position which can be based in our Reston VA office.

THE EXPERIENCEYOU BRING TO THE TEAM

Minimum Required Experiences

  • 4 years overall in Software Engineering disciplines preferably in the financial services industry
  • Programming skills in Python SQL and experience with AWS.
  • 4 years DevOps Engineering experience
  • 2-3 years of experience in AI/ML engineering roles
  • Understanding financial data KPIs and reporting standards.
  • Excellent communication and collaboration skills.

Desired Experiences

  • Experience in the finance or fintech industry with exposure to building and managing Risk Management and Audit applications
  • Experience with data visualization tools (e.g. Power BI Tableau).

AWS & Cloud Engineering

  • Experience leveraging AWS cloud services to design develop and support scalable cloud-native enterprise applications and data platforms.
  • Strong expertise in Python SQL and AWS for developing cloud-native applications data pipelines and scalable enterprise solutions.
  • Designed and integrated enterprise applications using REST SOAP and Fast API services enabling secure scalable and high-performance system-to-system communication.
  • Experience developing modern web applications and user interfaces using React Angular JavaScript TypeScript AJAX HTML5 CSS3 and Streamlit.
  • Built responsive and interactive dashboards reporting applications AI-powered portals and data visualization solutions with seamless backend API integrations.
  • Developed reusable UI components and implemented modern frontend design practices to improve application usability accessibility and performance.
  • Developed ETL workflows and data pipelines to process structured and unstructured data for analytics reporting model training and business intelligence.
  • Analyzed financial and business data using Python and SQL collaborated with cross-functional stakeholders and continuously improved model performance accuracy and governance compliance.

AI & Machine Learning

  • AI/ML and Generative AI engineering experience delivering GenAI-powered assistants intelligent automation AI-driven workflows and decision-support solutions.
  • Developed enterprise GenAI solutions using LangChain LangGraph AI agents RAG frameworks vector databases embedding models and MCP integrations to deliver conversational AI and knowledge management capabilities.
  • Applied prompt engineering and LLM optimization techniques for financial reporting document summarization intelligent search client communications and workflow automation.
  • Built and orchestrated multi-agent workflows tool-calling frameworks and retrieval pipelines to improve AI reasoning contextual awareness and response accuracy.
  • Authored model documentation prompt strategies and governance artifacts to support audit compliance and knowledge-sharing requirements.

DevOps & CI/CD

  • DevOps engineering experience implementing CI/CD pipelines using Jenkins GitHub Actions GitLab CI and AWS DevOps services to automate build testing deployment and release processes.
  • Automated infrastructure provisioning and cloud deployments using Terraform CloudFormation Docker Kubernetes (EKS) and Infrastructure-as-Code (IaC) practices.
  • Integrated DevSecOps controls automated testing code quality validation and security scanning to improve software reliability compliance and delivery efficiency.
  • Implemented monitoring logging and observability solutions using AWS CloudWatch and Splunk while supporting application and AI model lifecycle management.

Enterprise Risk Technology - Software Engineering - Lead Associate

141000.00 - 184000.00

JR2565

Qualifications

Active Directory (AD) Active Directory (AD) Amazon Web Services (AWS) Artificial Intelligence (AI) Atlassian JIRA Authentication Management Backup and Recovery (Software) Business Insight Skills Business Process Management Skills Calendar and Scheduling Tools Cleaning and Transforming Data Cloud Technology Collaborating Cross-Functionally Communicating in Technical Writing Communicating Technical Information Communication Configuration Management (CM) Conflict Resolution Coordination Customer and Market Insights Customer Relationship Management (CRM) CyberArk Cybersecurity Analysis Data Analysis Data Analysis Interpretation 60 more

Education:

Bachelors Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at most roles employees are expected to work onsite on a regular basis at their designated office -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 employees physical mental emotional and financial well-being. See more here.

Requisition compensation:

141000

to

184000

Required Experience:

IC

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 p...

About Company

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At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, fle ... View more

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