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