Lead Software Engineer - Java, Python preferred

You will raise engineering standards through hands-on development, thoughtful design, and mentorship that helps the team grow.

As a Lead Software Engineer at JPMorganChase within Asset & Wealth Management, you will build and evolve modern platform capabilities that help advisors, clients, and operations teams deliver outcomes with speed, safety, and reliability.

You will own end-to-end delivery of secure services and APIs, partnering closely with product and engineering peers across regions to solve complex business and technical problems.

Job responsibilities


* Execute creative software solutions across design, development, and technical troubleshooting working as a senior developer individual contributor on a strategic client reporting and data platform.


* Engineer data pipelines, calculations, data distribution and reporting to be presented to Asset Management clients.


* Develop secure, high-quality production code, and mentor junior developers through code reviews, design sessions and knowledge sharing.


* Deliver technology solutions as part of an Agile Scrum team, contributing to sprint planning, complexity analysis, daily standups, and retrospectives to drive predictable outcomes.


* Partner with manager and Product Owner to use metrics to continuously improve practices to build a high performing team.


* Work directly with end users and Product Owners to communicate status, understand requirements, and ensure an understanding of how work aligns with business objectives.


* Collaborate with Scrum teams locally and across regions to share solutions, challenges, and best practices, improving consistency and delivery speed.


* Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and service reliability.


* 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


* Strong software engineering practices and 5+ years applied hands on experience.


* Track record of hands-on practical experience delivering system design, application development, testing, and operational stability.


* Strong Java skills with demonstrated Spring Boot and REST API development experience.


* Applied knowledge in data modeling and strong SQL skills.


* Proficiency in automation and continuous delivery met...