Java AI Lead Software Engineer

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH, seeks a Lead Software Engineer within the Consumer & Community Banking Mortgage Technology team. You’ll be a core technical contributor, guiding design, development, and delivery of trusted, scalable software in a secure environment.

As a leader, you will advance AI-assisted engineering, review code, and collaborate with vendors and internal teams to drive architectural outcomes aligned with the firm’s objectives.

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of practical experience.
• Experience delivering system design, development, testing, and operations.
• Strong Java Full Stack experience (React or Angular).
• Experience leading AI-assisted development tools and practices.
• Understanding of secure, compliant adoption of AI in delivery workflows.

Responsibilities

• Executes creative software solutions, design, development, and debugging.
• Develops secure, high-quality production code and reviews peers’ work.
• Drives AI-assisted engineering practices to improve quality and delivery speed.
• Applies SDLC tools to improve automation and value realization.
• Identifies and automates recurring issues to improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.

Skills

Java Full Stack

AI-assisted development

Agile methodologies

Leadership

AWS

Tools

React

Angular

AWS

CI/CD

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 JPMorganChase within the Consumer & Community Banking Mortgage Technology team, 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
• Strong experience in Java Full Stack (React or Angular)
• 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
• Proficient in all aspects of the Software Development Life Cycle
• 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
• Strong in Java Full Stack (React or Angular) and AWS
• Leadership experience with varying levels of Software Engineers

Preferred qualifications, capabilities, and skills

• Python coding experience
• Mortgage industry technology experience