at J.P. Morgan
Bulge Bracket Investment BanksPosted 10 days ago
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**Lead Software Engineer - Client Onboarding:** Develop & maintain onboarding software, driving scalable solutions in a CI/CD environment. Key responsibilities include designing, coding, testing & maintaining software, collaborating cross-functionally, and driving AI-assisted engineering practices. Proficient in Java, J2EE, Spring, ORM frameworks, plus working knowledge of CI/CD tools, design patterns, SQL, and UI technologies. 5+ years' experience required, with a proven track record in leading AI-assisted software development and setting team expectations for safe, compliant AI usage in delivery practices.
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Full Job Description
Location: Jersey City, NJ, United States
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 firms business objectives.
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 firms 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
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team
