Fullstack Lead Software Engineer - Java

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 JPMorganChase within the Commercial & Investment Bank, 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 - 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 - 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 - 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 - Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills - Formal training or certification on Software Engineering concepts and 5+ years applied experience - 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 - 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 - Advanced in Java and Spring Boot, with a deep understanding of object-oriented design and enterprise patterns - Proven track record of making technical trade-offs and decisions in complex environments - Excellent problem-solving skills, attention to detail, and ability to drive projects to completion - Outstanding communication and collaboration abilities, with experience working in agile teams - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Preferred qualifications, capabilities, and skills - Experience architecting scalable, high-performance back-end systems in payments or financial services - Advanced knowledge of Oracle databases, including data modeling, query optimization, and transaction management for large-scale applications - Strong hands-on experience with MQ and Kafka, designing and managing resilient, distributed messaging architectures - Demonstrated leadership in mentoring engineers, driving technical decisions, and collaborating effectively with cross-functional teams