Lead Software Engineer - Full stack Java

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 JPMorganChase within Asset Wealth Management, 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.

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problem. Develops secure and high-quality production code, and reviews and debugs code written by others. Thrives in a fast-paced environment, contributing to one of Wealth Management’s most high-profile platforms. Operates as part of an agile team, regularly deploying software updates to production and adjusting to the dynamic needs and scale of the business. 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. Influences peers and project decision-makers to consider the use and application of leading-edge technology. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendor. Drives decisions that influence the product design, application functionality, and technical operations and process. 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. Have excellent programming experience in Core Java, Python and working experience of API framework like REST and GraphQL. Implement TDD and BDD techniques, with a focus on leveraging mocking frameworks for effective testing. Demonstrate an understanding of IoC frameworks in Java, such as Spring. Understand next generation messaging and streaming technologies such as Kafka, SNS, Event bridge. Strong grasp of engineering principles, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, etc.) Overall knowledge of the Software Development Life Cycle. Demonstrate knowledge on SQL database like oracle , PostgreSQL and working knowledge of cache techniques and Amazon S3. 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. Preferred qualifications, capabilities, and skills Have exposure AI assisted development. Exposure to cloud technologies preferably AWS and certification.