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# Lead Software Engineer-Full Stack/Spring Boot/React

- **Company:** JPMorgan Chase & Co.
- **Location:** Wilmington, NC, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Testing (Software), Java (Programming Language), JavaScript (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Cloud Computing, Software Quality, Code Review, Databases, Continuous Delivery, Continuous Integration, Programming Tools, Design of User Interfaces, Human-Computer Interaction, Machine Learning, Pair Programming, Performance Tuning, Systems Development Life Cycle, Reliability Engineering, Software Tools, Secure Coding, Software Deployment, Software Engineering, Systems Integration, Strategies of Testing, Web Applications, Web Services, ReactJS, Large Language Models, Spring-boot, Software Security, Backend, Front End Software Development, React Redux, Software Coding, Restful APIs, Terraform, Code Restructuring, Service Stack, Programming Languages
- **Published:** August 1, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-full-stack-spring-boot-react-wilmington-de--b7442c1d-a9eb-45ba-8498-59bc3874da33

## About the Role

* Formal training or certification on software engineering concepts and 5+ years applied experience
 * Proven Full Stack expertise in Java and Spring Boot, including designing and developing robust backend APIs, implementing RESTful web services, integrating with databases, and building responsive front-end interfaces using modern JavaScript frameworks. Skilled in end-to-end application development, deployment, and troubleshooting across the entire technology stack
 * Experience with React in building scalable applications, including designing and developing dynamic user interfaces, managing state with tools such as Redux or Context API, optimizing component performance, and integrating with RESTful APIs and backend services to deliver responsive and maintainable web application
 * Hands-on experience serving as Tech Lead or senior engineer driving technical direction.
 * Demonstrated hands-on experience with AWS services to design, deploy, and manage cloud-based solutions, including configuring resources, implementing security best practices, and optimizing performance for scalable and reliable applications
 * Hands-on practical experience delivering system design, application development, testing, and operational stability
 * Advanced knowledge in one or more programming language(s)
 * Proficiency in automation and continuous delivery methods including designing, implementing, and optimizing CI/CD pipelines to streamline software deployment, improve reliability, and accelerate delivery cycles
 * Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
 * Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
 * Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

 * Prior experience working in financial services industry
 * Experience applying LLMs to real worlds product is a plus.
 * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
 * hands-on experience using Terraform to provision, manage, and automate cloud infrastructure, including writing and maintaining infrastructure-as-code, troubleshooting deployment issues, and optimizing resource configurations for scalability and reliability., Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Applications Security, Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Coaching, Code Reviews, Coding Standards, Communication Skills, Community Banking, Compensation and Benefits, Continuous Deployment/Delivery, Continuous Integration, Diversity, Documentation, Financial Services, Identify Issues, Internet Application, Java, JavaScript Frameworks, Leadership, Machine Learning, Mentoring, Nonprofit, Operational Improvement, Performance Tuning/Optimization, Programming Languages, Programming Tools, Quality Assurance Methodology, Quality Management, REST (Representational State Transfer), React.js, Refactoring, Reliability Engineering, Root Cause Analysis, Scalable System Development, Secure Coding, Small Business, Software Design, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Software Testing, Technical Leadership, Test
Automation, Test Design, Test Strategy, Testing, User Interface/Experience (UI/UX), Web Services

## Description

* Write high - quality, scalable code in Java and React, modeling best practices in design, testing, and maintainability
 * Review code, pair programming and coaching to uplift overall team coding quality
 * Break down product requirements into well-structured technical user stories, giving team clarity and technical direction
 * Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
 * Establish coding standards, CI/CD pipelines, testing frameworks, and documentation practices that improve overall quality
 * Mentor and help junior engineers grow into strong contributors
 * Communicate and partner effectively with Product Managers and Leadership
 * Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
 * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation


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