Lead Software Engineer - Java, AI, Spring Boot and Kafka
- Compensation
- Not disclosed
- Location
- Chicago, IL, United States
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Full description
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’s Digital and Platform Services organization, you are an integral part of the Equipment & Asset Finance Technology team. You will help 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 delivering critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives.
Equipment & Asset Finance Technology supports equipment leasing, lease origination, asset valuation and tracking, portfolio servicing, and asset lifecycle management across multiple lines of business. In this role, you will serve as a technical lead for the next-generation Equipment & Asset Finance platform, a multiyear strategic investment delivering modern lease origination, asset valuation, and lifecycle management capabilities at enterprise scale.
Job responsibilities
- Executes creative software solutions, design, development, testing, and technical troubleshooting, with the ability to think beyond conventional approaches to solve complex technical problems
- Develops secure and high-quality production code, reviews and debugs code written by others, and ensures solutions meet architectural standards and automated quality requirements
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards 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
- Leads a global feature team by setting technical direction, supporting pair programming, mentoring engineers, contributing to architectural decisions, and partnering with Product Owners, Operations, and Technology teams
- Identifies opportunities to improve application stability, observability, code quality, and deployment reliability while supporting applications across development, staging, and production environments
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 8+ years of applied experience, including hands-on delivery of system design, application development, testing, and operational stability
- Advanced Java development experience, including Java 21+, object-oriented analysis and design, concurrency, collections, streams, records, sealed classes, pattern matching, and virtual threads