Lead Backend Engineer - Java/AWS for scalable fintech

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer - Backend Java, AWS to join the Commercial and Investment Bank division. You will be a core technical contributor, building trusted, scalable technology products in a secure environment and collaborating across teams to advance architectural designs and tooling.

The role emphasizes AI-assisted development, code quality, incident analysis, and enterprise-standard practices, with leadership in evaluating external vendors and internal capabilities.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced experience with Java. Spring Boot and AWS is required.
• Experience leading AI-assisted software development tools with code review, test acceleration, and secure outputs.
• Strong understanding of responsible AI use in engineering workflows and secure handling of data.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• In-depth knowledge of the financial services industry IT systems.
• Practical cloud-native experience.

Responsibilities

• Executes creative software solutions and advanced design, development, and troubleshooting beyond routine approaches.
• Develops secure, high-quality production code and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve quality, speed, and operations.

Skills

Java

Spring Boot

AWS

AI-assisted development

CI/CD

Security

Resiliency

Financial services domain

Job description

JPMorganChase is seeking a Lead Software Engineer - Backend Java, AWS to join the Commercial and Investment Bank division. You will be a core technical contributor, building trusted, scalable technology products in a secure environment and collaborating across teams to advance architectural designs and tooling.

The role emphasizes AI-assisted development, code quality, incident analysis, and enterprise-standard practices, with leadership in evaluating external vendors and internal capabilities.