Lead Software Engineer - Full Stack - Java/React/AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Community Banking, Card Technology & Rewards, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities:

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• 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.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Contributes to the engineering of application infrastructure that can be deployed seamlessly on AWS or private cloud, ensuring portability, scalability, and reliability, and cost efficiency across multi-cloud platforms
• Demonstrates proficiency in all aspects of the Software Development Life Cycle

 

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 8+ years of software development experience.
• 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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced experience building user interfaces with HTML, CSS, JavaScript, and React
• Proficiency with frontend tooling and build systems (Webpack, Vite, npm)
• Strong understanding of RESTful and GraphQL APIs and integrating with backend services
• Demonstrated design sensibility and attention to visual detail
• Ability to convert wireframes and Figma designs into clean, maintainable code
• Hands-on experience designing and developing microservices and RESTful APIs with Java and Spring Boot

 Preferred qualifications, capabilities, and skills:  

• Experience with micro-frontend architecture
• AWS Certified Developer or Solutions Architect or Cloud-Ops Engineer
• Knowledge of monitoring and logging tools (CloudWatch, Dynatrace, Datadog, Splunk, etc.)
• Exposure to AI tools for developers
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc. 
• Working knowledge of testing tools such as Jest, React Testing Library, and Cypress