MAP 603 Lead Software Engineer

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

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function‑wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

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 in one or more programming language(s)
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience