Lead Software Engineer – Cloud-Native Full Stack, AWS, Java/Spring Boot, React, AI

Overview

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.

Responsibilities

• Grow Your Skills, Grow Your Potential
• Transform how claims professionals manage their daily work by helping them prioritize the right work at the right time, improve customer outcomes, and manage claims proactively through modern, intuitive technology.
• Support an architecture that includes Python-based AWS Lambda functions, Java Spring Boot APIs, and a React user interface, while helping evolve selected capabilities into containerized, cloud-native services.
• Identify practical and responsible uses for generative AI and AI agents, including intelligent automation, improved testing, developer productivity, and new product capabilities.
• Own complex solutions from design through production, mentor engineers, influence technical direction, and collaborate across product, business, and technology teams to scale the platform.

Qualifications

• Practical experience with generative AI tools and AI agents, along with the creativity to identify responsible opportunities in software delivery, automation, testing, or product capabilities.
• Strong Java, Spring Boot, and API development experience for building, integrating, and supporting backend services.
• AWS cloud development experience, including Python and serverless technologies such as AWS Lambda.
• React or Angular front-end development experience, including TypeScript and API integration.
• Cloud-native and container-based application experience, such as Docker, Kubernetes, or OpenShift, with an interest in learning or applying Go to modernization efforts.