Senior Software Engineer: AI-Driven, Cloud-Native Systems

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 110,000 - 165,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH, seeks an experienced software engineer to join an agile team delivering secure, scalable technology products. You will guide technical direction for business and teams, develop high-quality production code, and promote AI-assisted practices across the SDLC.

Responsibilities include mentoring engineers, ensuring secure code, and driving responsible AI usage while improving delivery speed and operational outcomes.

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 in one or more programming language(s).

Responsibilities

• Provides technical guidance to business and technical teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews code written by others.
• Drives AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes with validated standards.
• Applies knowledge of SDLC tools to boost automation value at scale.
• Influences product design, functionality, and technical operations and processes.
• Serves as a function-wide subject matter expert in one or more focus areas.
• Advocates firmwide SDLC frameworks, tools, and practices within engineering.

Skills

Software engineering fundamentals

AI-assisted development tools

Cloud native

Code review / debugging

Secure coding practices

Tools

Enterprise SDLC toolchain

Job description

JPMorgan Chase & Co. in Columbus, OH, seeks an experienced software engineer to join an agile team delivering secure, scalable technology products. You will guide technical direction for business and teams, develop high-quality production code, and promote AI-assisted practices across the SDLC.

Responsibilities include mentoring engineers, ensuring secure code, and driving responsible AI usage while improving delivery speed and operational outcomes.