Lead Software Engineer - Java Full Stack

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 the Commercial & Investment Technology's Cash Prime Technology team, 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
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.
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 across the group.
Contribute to quality improvement, code reviews, code and architecture standards, code reuse etc.
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 threading etc. Designing & developing micro-front end based micro-services.
Hands on experience in Java\J2EE, Spring Boot, Database knowledge, Kafka, React JS, CI\CD, designing features, AWS cloud experience
Strong problem solving, analytical and communication skills (both verbal and written)
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Ability to take on difficult and complex large scale problems and provide end to end solutions.
Ability to build and maintain strong relationships with stakeholders in business, operations, operate etc.
Preferred qualifications, capabilities, and skills
Exposure to Kubernetes platform
Exposure to DevOps methodology
Exposure to SWIFT payment processing and ISO20022 payment messaging standards