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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - **Company:** State Farm Insurance - **Location:** Tempe, AZ, United States (Remote available) - **Experience:** Expert - **Salary:** $81,000.0 - $142,000.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), HTML, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Application Performance Management, Architectural Patterns, Automation of Tests, Cascading Style Sheets (CSS), Software as a Service, Cloud Computing, Cloud Computing Security, Cloud Engineering, Code Review, Continuous Delivery, Continuous Integration, Data Architecture, Data Stores, Data Systems, Web Development, Distributed Systems, Amazon DynamoDB, Design of User Interfaces, Human-Computer Interaction, Identity and Access Management, Key Management, Node.Js, NoSQL, Performance Tuning, Secure Coding, Software Engineering, TypeScript, Web Applications, Amazon Connect, Data Logging, Spring Cloud, ReactJS, Retrieval-Augmented Generation, System Availability, Large Language Models, Prompt Engineering, Model Validation, Technical Debt, Generative AI, Backend, Amazon Relational Database Service, Infrastructure Automation Frameworks, Information Technology, Amazon Bedrock, Data Management, Front End Software Development, Restful APIs, Amazon Simple Queue Service (SQS), Amazon Redshift, Microservices - **Published:** October 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/lead-fullstack-engineer-aws-tempe-az--ae30c66b-0301-4822-a65f-5dcbed48a0cf ## About the Role * Bachelor's Degree in Computer Science, Software Engineering or equivalent work experience * Three years hands-on experience with developing solutions on AWS or other cloud platforms * Strong hands-on full-stack software engineering experience designing and developing modern enterprise web applications. * Advanced experience with React.js, TypeScript, JavaScript, HTML, and CSS including modern React development patterns, component architecture, state management, API integration, performance optimization, and front-end testing. * Strong backend development experience with Node.js and/or Java, including REST APIs, microservices, and distributed application design. * Strong hands-on experience developing cloud-native applications on AWS, including compute, API, storage, messaging, security, monitoring, and resiliency patterns. * Experience designing event-driven and asynchronous architectures using services such as SQS, SNS, or EventBridge. * Strong understanding of IAM, networking, encryption, secrets management, logging, monitoring, and cloud security practices. * Experience with AWS data technologies including DynamoDB, RDS, S3, and Redshift, with a solid understanding of relational and NoSQL data design. * Experience integrating Generative AI/LLM capabilities into applications; familiarity with Amazon Bedrock, RAG, prompt design, model evaluation, guardrails, and responsible AI practices is preferred. * Strong understanding of software engineering practices including automated testing, CI/CD, Infrastructure as Code, observability, secure development, and production support. * Experience implementing application observability using logs, metrics, tracing, dashboards, and alerting. * Experience designing scalable, secure, highly available, and maintainable architectures, with the ability to evaluate technical tradeoffs and guide implementation. * Demonstrated ability to provide hands-on technical leadership, including solution design, code reviews, troubleshooting, establishing engineering standards, and mentoring engineers. * Strong communication and collaboration skills with both technical and non-technical partners., * AWS certifications are a plus * Ability to foster innovation, encourage diversity of thought, and incorporate new ideas * Good working knowledge in Amazon Connect Cloud Contact center platform would be a plus * Experience building AI-assisted workflows for summarization, evaluation, recommendations, insights, or coaching., Amazon Relational Database Service (RDS), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Hosting, Application Programming Interface (API), Architectural Design, Architectural Services, Artificial Intelligence (AI), Best Practices, CSS (Cascading Style Sheet), Call Center Evaluation, Call Center Management, Call Center Software, Call Centers, Cloud Applications, Cloud Architecture, Cloud Computing, Coaching, Code Reviews, Communication Skills, Computer Architecture, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cryptography, Customer Relations, Distributed Applications, Diversity, Ecosystems, Emerging Technology, Engineering, HTML (HyperText Markup Language), Health Plan, Healthcare, High Availability, Identify Issues, Java, JavaScript, Mentoring, Metrics, Microservices, NoSQL, Node.js, Performance Management, Performance Tuning/Optimization, Problem Solving Skills, Product Engineering, Production Support, Quality Management, REST (Representational State Transfer), React.js, Reporting Dashboards, Retirement Planning, Security Monitoring, Simple Queue Service (SQS), Software Design, Software Development, Software Engineering, Software Testing, Team Player, Technical Analysis, Technical Delivery, Technical Leadership, Test Automation, Test Plan/Schedule, Trade-Off Analysis, User Experience Design (UXD), User Interface/Experience (UI/UX), Web Programming, Work From Home ## Description Exciting opportunity for a Lead Software Engineer to join the Hercules Cloud Contact Center - Quality Management product team. We are looking for a hands-on technical leader with strong full-stack development, AWS cloud architecture, and software engineering experience to help build and evolve a modern contact center quality management platform. Our application enables contact center leaders to better understand call performance and improve agent effectiveness. The platform brings together customer interaction transcripts, audio recordings, agent evaluations, performance insights, and coaching workflows to help leaders evaluate interactions and coach agents. The product also incorporates Generative AI capabilities to analyze customer interactions, surface actionable insights, and generate coaching recommendations. As a Lead Software Engineer, you will work closely with product, engineering, architecture, UX, and other technology partners to design and deliver scalable solutions. You will remain highly hands-on while providing technical leadership to the product team and helping establish engineering standards and best practices. * Provide hands-on technical leadership for the design, development, testing, deployment, and operation of a modern full-stack application hosted on AWS. * Lead solution design and implementation across React/TypeScript front-end applications, Node.js and Java APIs, AWS services, and data platforms. * Translate product and business requirements into scalable, secure, resilient, and maintainable technical solutions. * Design intuitive and responsive user experiences for workflows involving contact transcripts, audio recordings, agent evaluations, performance insights, and coaching. * Design and develop RESTful APIs and backend services using Node.js and Java. * Develop cloud-native solutions using AWS services and select appropriate architectural patterns for compute, storage, messaging, security, observability, and integration. * Design solutions using data stores including DynamoDB, Amazon RDS, Amazon S3, and Amazon Redshift, selecting appropriate storage and access patterns based on application requirements. * Lead the technical integration of Generative AI/LLM capabilities that analyze contact center interactions and generate actionable insights and coaching recommendations. * Establish patterns for safely and reliably incorporating AI-generated content into user-facing applications, including appropriate guardrails, evaluation, monitoring, and human-in-the-loop workflows. * Drive engineering excellence through code reviews, automated testing, CI/CD, observability, performance optimization, security practices, and production readiness. * Troubleshoot complex issues across the application stack and lead resolution of critical production problems. * Identify technical debt and opportunities to improve application performance, reliability, maintainability, scalability, and developer productivity. * Provide technical direction and mentorship to engineers while fostering strong engineering practices across the team. * Collaborate with product owners, UX designers, architects, data/AI teams, and other engineering teams to make pragmatic technical decisions and deliver customer value. * Evaluate emerging technologies and recommend solutions that improve the product and engineering ecosystem.