Java Lead Software Engineer - Asset Wealth Management
JPMorganChase - Columbus, OH
Hiring: Java Lead Software Engineer - Asset Wealth Management Company: JPMorganChase Location: Columbus, OH Job Posted Time: 2026-09-09 18:01:49 Employment Type: Contract Target Skills & Keywords : Event-Driven, HBase, Java, Kafka, Spring, TestNG About the job Experience: •5+ years applied experience Required Skills: •Build the next generation of liquidity trading on Morgan Money—joining a hands-on Java engineering team at JPMorganChase in Asset & Wealth Management where you'll partner with trading stakeholders, ship frequently, and use enterprise-authorized AI-assisted practices to improve reliability, speed, and client outcomes. •As a Lead Software Engineer (Java) at JPMorganChase within Morgan Money in Asset & Wealth Management, you will advance next-generation liquidity trading capabilities for corporate clients across regions. You will be a hands-on engineer building resilient, secure, high-performing Java services while partnering closely with investment and trading stakeholders to deliver measurable business outcomes. You will help strengthen engineering practices and reliability in a fast-paced environment with frequent production releases. •Job Responsibilities •Partner with investment and trading teams to translate business objectives into durable, measurable technical outcomes •Design, build, and operate low-latency backend services in Java with a focus on scalability, resiliency, and secure-by-design engineering •Own end-to-end delivery of features from design through production release, ensuring operational readiness and strong customer outcomes •Drive architecture and engineering decisions that improve performance, reliability, and long-term maintainability across services •Establish and uphold disciplined engineering practices, including automated testing, code review, and continuous integration and delivery •Improve observability and incident readiness through effective logging, metrics, tracing, and production diagnostics to reduce time to detect and recover •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 experience delivering production-grade backend services using Java, with strong object-oriented design and debugging skills •Experience building scalable distributed systems with a focus on low-latency performance, resiliency patterns, and failure-mode thinking Compensation: •$123,500 •$175,000 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!