MAP 603 Lead Software Engineer

JPMorgan Chase & Co.; Kentucky; On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in Kentucky seeks an experienced Software Engineer to help enhance, build, and deliver AI-driven technology products. You will guide teams, develop secure production code, and promote responsible AI practices within the SDLC.

The role requires hands-on programming expertise, cloud native experience, and the ability to drive governance of AI-assisted tools across the organization.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years applied experience in system design, development, testing and operations.
• Advanced in one or more programming languages.
• Experience using enterprise AI-assisted development tools with ability to validate AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and security considerations.
• Ability to tackle design problems independently with minimal oversight.
• Practical cloud native experience.

Responsibilities

• Provides technical guidance to business and technical teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' code.
• Drives adoption and governance of AI-assisted engineering practices to improve quality, speed, and reliability.
• Applies SDLC tools and AI-enabled capabilities to improve automation and value.
• Influences product design, functionality, and technical operations.
• Acts as a function-wide expert and promotes firmwide frameworks and practices.

Skills

Software engineering concepts

Programming languages

AI-assisted development tools

Cloud native

Independent problem solving

Security awareness

Education

Formal training or certification in software engineering

Tools

AI-assisted development tools

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