Lead AWS Software Engineer (AI and DevOps SME)

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 is one opening/s for this position which can be based in our Reston, VA office., 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.

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)., 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: 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.

4.04.0 out of 5 stars Reston, VA Hybrid work $141,000 - $184,000 a year - Full-time, 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 .