Lead Software Engineer - Java 17+, Spring Boot, 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 & Investment Bank's Markets Technology - Broker-Dealer group, you will be 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 Writes secure, high-quality production code and performs code reviews and debugging for peers. 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 outcome-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. 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. Serves as a function-wide subject matter expert in one or more areas of focus. Contributes to a team environment that values diversity, opportunity, inclusion, and mutual respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience in Java software development and architecture. Hands-on practical experience delivering system design, application development, testing, and operational stability. Strong written and oral communication and excellent presentation and influencing skills. Proven ability to collaborate with global agile teams. Strong knowledge in Core Java (Java 17+), Spring Boot, REST, Kafka, Microservices, Agile, DevOps. Good SQL/PL-SQL Skills and Hibernate/JPA. Deep experience in object oriented analysis and design (OOAD). 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. Proficient in all aspects of the Software Development Life Cycle. Exhibits strong analytical and problem-solving abilities, offering technical thought leadership in evaluating emerging technologies and influencing stakeholders, user groups, and global technology teams to solve complex problems at scale. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience working with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Preferred qualifications, capabilities, and skills Demonstrates a passion for architectural design that drives innovation across applications and teams, with extensive experience delivering large-scale enterprise software systems in regulated, real-world environments. Demonstrated experience in greenfield development and the ability to work autonomously in fast-paced, deadline-driven environments. Requires innovative, out-of-the-box thinking to design applications that transform existing mainframe functionalities and develop new features using distributed or modern technologies. Holds AWS certification(s) and has practical experience with AWS services, Spark, AWS Glue ETL, and Python. Practical experience with machine learning and AI technologies (such as Python, TensorFlow, and Scikit-learn) is a plus. Understanding of equities or fixed income products and familiarity with the trade lifecycle. Experience working with enterprise-scale data assets such as MDM, EDW, and data lakes, and navigating diverse technology landscapes and process/technology integration challenges. Experience in leading or contributing to modernization projects involving migration of mainframe applications to distributed technologies.