Java Lead Software Engineer

JPMorganChase • Jersey City, NJ

2d

About The Position

As a Lead Software Engineer at JPMorganChase within Asset & Wealth Management, you will join an agile team building secure, market-leading technology at scale. You will serve as a technical voice, solve problems across business lines, and help shape software development practices in the AI era. The role involves designing, developing, testing, and supporting software, advancing the use of approved AI-assisted engineering tools, and improving application quality and operational stability.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience for NAMR/APAC–India/LATAM/Hong Kong; advanced applied experience for EMEA/LATAM–Brazil. Singapore candidates follow local country guidance.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages and technology stacks, such as Java/Spring, microservices, JavaScript/TypeScript, SQL, or Kafka.
• Hands-on experience with cloud platforms, internal or AWS, and willingness to experiment with modern development stacks.
• Demonstrated experience leading effective use of approved AI-assisted software development tools, such as for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
• Proficiency in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• In-depth knowledge of the financial services industry and its IT systems.
• Practical cloud-native experience.

Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, using approaches beyond routine methods to solve or break down technical problems.
• Develop secure, high-quality production code, and review and debug code written by others.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
• Apply software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve software and systems operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed