Lead Software Engineer - AI-Driven, Secure & Scalable

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase in Chicago is seeking a Lead Software Engineer to join the Commercial & Investment Bank - Marketing Platform team. You will be a core technical contributor shaping secure, scalable software across multiple business functions and ensuring reliable delivery in an agile environment.

You will lead design and development, drive adoption of enterprise AI-assisted engineering practices, and partner with senior stakeholders to translate strategy into executable roadmaps.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Hands-on experience delivering system design and production code.
• Proficient in Java, C#, and .NET with secure coding practices.
• Experience leading AI-assisted development tool adoption and validation.
• Strong understanding of CI/CD, security, and resiliency in enterprise apps.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure production code and conducts code reviews.
• Drives operational stability by addressing recurring issues.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Leads communities of practice and promotes enterprise AI-driven engineering.
• Partners with stakeholders to translate strategic objectives into roadmaps.

Skills

Java

C#

.NET

AI-assisted development

CI/CD

Cloud platforms

Agile methodologies

Security best practices

Education

Bachelor's degree in Computer Science

Tools

Git

Jenkins

CI/CD pipelines

Job description

JPMorganChase in Chicago is seeking a Lead Software Engineer to join the Commercial & Investment Bank - Marketing Platform team. You will be a core technical contributor shaping secure, scalable software across multiple business functions and ensuring reliable delivery in an agile environment.

You will lead design and development, drive adoption of enterprise AI-assisted engineering practices, and partner with senior stakeholders to translate strategy into executable roadmaps.