Lead Software Engineer - Java Full Stack - AWM

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 Asset & Wealth Management, you are an integral part of an agile team within Cash and Check Management product 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.


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.


* Architects and implements scalable Java full-stack solutions on AWS serverless to support mission-critical Private Bank Client Onboarding platforms.


* Mentors and guides engineering teams in best practices for cloud-native development, microservices and micro frontend architecture, and SRE methodologies to accelerate delivery and enhance system reliability.


* Collaborates with product managers, business stakeholders, and compliance teams to translate complex wealth management requirements into robust technical solutions that meet regulatory standards.


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


* Develops secure high-quality production code, and reviews and debugs code written by others.


* Establishes and enforces comprehensive testing strategies including unit, integration, and end-to-end testing frameworks to ensure code quality, system reliability, and seamless user experiences.


* Adds to team culture of diversity, opportunity, inclusion, and respect.


* 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.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience.


* Hands-on practical experience delivering system design, ap...