Lead Software Engineer - Backend Java, AWS

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

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 - Backend Java, AWS at JPMorganChase within the Commercial and Investment Bank, 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. 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.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• 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
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set 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
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience working in a Banking / Financial service is desired but not required