Senior
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 Corporate Technology, 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. Create innovative technology solutions to support the Client Onboarding and KYC business. 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.
Design, develop, test, and maintain high-quality software and new product capabilities
Collaborate with cross-functional partners to deliver outcomes aligned to business needs
Communicate development progress, risks, and dependencies to the team and key stakeholders
Apply Agile practices to support iterative delivery and continuous improvement
Implement and maintain CI/CD pipelines to support reliable builds and deployments
Use sound object-oriented design and common design patterns to create scalable solutions
Produce clear technical documentation and support knowledge sharing across the team
Contribute to code quality through reviews, testing practices, and defect resolution
Work with global technologists to share ideas, improve solutions, and drive innovation
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards and promoting reuse of effective patterns
Apply SDLC toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Proficiency in Java development with J2EE server technologies (Web Services, Spring, ORM frameworks, XML, Enterprise Java Beans, JMS)
Working knowledge of CI/CD and build tooling (such as Jenkins, TeamCity, Maven)
Working knowledge of design patterns, UML, and object-oriented concepts
Working knowledge of relational databases and SQL
Working knowledge of source control management tools (Bitbucket or equivalent)
Working knowledge of UI technologies including HTML5 and JavaScript
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) and setting 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
Ability to collaborate within a team and build effective working relationships
Ability to organize work, manage priorities, and deliver to tight deadlines
Preferred Qualifications, Capabilities, and Skills
Working knowledge of Angular or React
Working knowledge of AWS or equivalent cloud technologies
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