Senior Lead Software Engineer - Java, Prime Financial Services Technology

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Technology in Cash Prime Technology, 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


* Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Drive the delivery of business value via change programs, projects within the technology group


* Create automated unit tests using a Test Driven Development approach


* Develop a strong understanding of key functions of clearing and settlements within Cash Prime business


* Partner with supporting tech leads to develop realistic and achievable project estimates.


* Analyze and build within Control, Stability, Resiliency, Capacity & Performance areas.


* Perform testing: Unit, SIT & UAT planning and management.


* Doing robust delivery of code into the production environment with zero tolerance for post implementation issues


* Take part in decisions affecting long range organizational goals & strategic planning.

Proactively look to develop, implement and further development best practices and contribute to quality improvement, code reviews, code and architecture standards, code reuse etc.


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills


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


* Hands-on practical experience in system design, application development, testing, and operational stability


* Strong core Java experience with clear understanding of advanced concepts in collection framework, garbage collection, multi-thre...