Lead Software Engineer/Software Engineer (Full Stack) – Enterprise Knowledge & AI

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. We're moving with urgency to become a Next Gen Good Neighbor, with technology that strengthens human connections and enhances the customer experience. As an employee, you'll spend less time navigating systems and more time applying judgment, empathy, and expertise in the moments that matter most.  HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment. Hybrid work arrangement for Enterprise Technology is defined as residing with a 180-mile radius of the Hubs and Corporate. HUB LOCATIONS: Dunwoody, GA or Bloomington, IL SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity. Grow Your Skills, Grow Your Potential Responsibilities The Lead Software/Software Engineer (Full Stack) will design, build, and enhance modern full-stack applications that support State Farm's Enterprise Knowledge Management platform. This role spans front-end experiences, backend services, cloud-native development, and AI-enabled capabilities. You'll work across Salesforce, AWS, and modern web technologies to deliver solutions that improve knowledge authoring, search, discovery, and Generative AI experiences.    What You'll Do  •    Design, build, and support full-stack applications using modern engineering practices.  •    Develop user-facing experiences in Salesforce and modern web frameworks such as Angular.  Build and maintain REST APIs, event-driven services, and cloud-native integrations on AWS. •    Develop scalable integrations using services such as Amazon S3, Lambda, EventBridge, API Gateway, SQS/SNS, and related AWS technologies.   •    Build capabilities that operationalize enterprise knowledge authored in Salesforce Knowledge for consumption across State Farm applications.   •    Develop AI-enabled solutions that support knowledge authoring, semantic search, summarization, citation, and other Generative AI use cases.   •    Partner with architects and engineers to integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search, and other emerging AI capabilities into the knowledge platform.   •    Improve application performance, reliability, observability, and operational excellence through automation and monitoring.   •    Collaborate closely with product owners, business partners, UX designers, and fellow engineers to deliver high-value solutions.   •    Participate in the full software development lifecycle, from solution design through implementation, deployment, and ongoing support.

Desired Technical Capabilities  •    Full-stack software development experience.  •    Experience developing modern web applications using Angular, React, or similar frameworks.   •    Experience with Java, JavaScript/TypeScript, Apex, or other object-oriented programming languages.   •    Experience building and consuming RESTful APIs and event-driven architectures.   •    Experience developing cloud-native applications on AWS.   •    Familiarity with services such as Lambda, API Gateway, S3, EventBridge, SQS, SNS, Amazon RDS, CloudWatch, and IAM.  •    Experience with CI/CD pipelines, Git, automated testing, and DevSecOps practices.   •    Knowledge of Salesforce Platform development or Salesforce integrations is a plus.   •    Interest or experience in Generative AI, LLMs, prompt engineering, RAG, semantic search, vector databases, or AI-assisted application development is highly desirable.   •    Strong problem-solving,