Senior
Lead Software Engineer- Java Full Stack, AWS, Kafka
As a Lead Software Engineer at JPMorganChase within the CONSUMER & COMMUNITY BANKING 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
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Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
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Develops secure and high-quality production code, and reviews and debugs code written by others
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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.
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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.
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Drives decisions that influence the product design, application functionality, and technical operations and processes
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Serves as a function-wide subject matter expert in one or more areas of focus
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Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
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Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Required qualifications, capabilities, and skills
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Formal training or certification on software engineering concepts and 5+ years applied experience
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Strong OOP/design patterns understanding and clean code practices
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Strong coding skills in Java and Springboot with solid fundamentals
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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.
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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
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Proven, hands-on experience across system design, application development, testing, and production support
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Experience with low-latency/high-throughput systems
Preferred qualifications, capabilities, and skills
- Exposure to agentic AI
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