at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
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**Senior Lead Software Engineer - Java/React/AWS/AI** Drive technology innovation as a Senior Lead Engineer, guiding an agile team at JPMorganChase. Leverage Java, React, AWS, and AI to build and enhance scalable, secure products. Key responsibilities include technical guidance, AI-assisted engineering, toolchain optimization, vendor evaluation, and product design influence. Required skills span 5+ years of software engineering experience, proficiency in Java, React, AWS, and AI, hands-on system delivery, and practical cloud native expertise.
- Compensation
- Not specified
- City
- Wilmington
- Country
- United States
Currency: Not specified
Full Job Description
Location: Wilmington, DE, United States
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer - Java/React/AWS/AI at JPMorganChase within the Consumer and 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
As a Senior Lead Software Engineer - Java/React/AWS/AI at JPMorganChase within the Consumer and 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong experience in Java, React, platform engineering, AWS, systems design, solution design, low level design, database, messaging, live application/data migrations, design patterns, high scale, production support from product and platform organizations.
- Experience with AI agents, Automated generation of UI, design, code, database, test cases, and assembling solutions in real time shortening the SDLC to significantly reducing timelines using prompt engineering with AI powered LLM tools such as Claude, CoPilot and assembling solution to result in production grade services/APIs using coding and performance best practices
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Exposure to modern emerging technologies
