Lead Software Engineer - Client Onboarding

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, is seeking a Lead Software Engineer to design, develop, test, and maintain high-quality software for Client Onboarding and KYC. You will be a core technical contributor shaping scalable, secure solutions across multiple business functions.

As part of an agile team, you will collaborate with cross-functional partners, implement CI/CD pipelines, apply design patterns, and mentor engineers while advancing AI-assisted development practices.

Qualifications

• 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, EJB, JMS).
• Working knowledge of CI/CD and build tooling (e.g. 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 and 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.
• Ability to collaborate within a team and build effective working relationships.
• Ability to organize work, manage priorities, and deliver to tight deadlines.

Responsibilities

• 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.

Skills

Java/J2EE

CI/CD

Design patterns

SQL

Bitbucket

HTML5/JS

AI-assisted tooling

Responsible AI

Education

Formal software engineering training with 5+ years experience

Tools

Jenkins

TeamCity

Maven

Job description

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