Java Lead Software Engineer - Kafka

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


* Lead and inspire a team of entry-level to mid-level software engineers, fostering a culture of collaboration, innovation, and excellence


* Oversee technical design, architecture, and implementation to ensure high-quality, scalable solutions


* Produce architecture and design artifacts for complex applications, ensuring that design constraints are met during software code development


* Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems


* 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


* 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


* 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


* Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, t...