Lead Software Engineer Java

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago seeks a Senior Lead Software Engineer for the AI Enablement team within the Corporate Investment Bank to push the envelope delivering trusted, market-leading technology products.

You will operate in an agile environment, guiding cross-functional teams to build secure, scalable services and apply advanced problem-solving to a diverse set of technologies. Responsibilities include setting engineering direction, promoting AI-assisted development practices, ensuring

Qualifications

• Formal training or certification in software engineering concepts is expected.
• Hands-on experience delivering system design, development, testing, and operations is required.
• Advanced in Java, Spring Boot, and microservice architecture.
• Experience with Python.

Responsibilities

• Regularly provides technical guidance to business and technical teams.
• Develops secure, high-quality production code and reviews code written by others.
• Drives adoption and governance of AI-assisted engineering practices across teams with measurable validation standards.
• Applies knowledge of SDLC toolchain to improve value of automation.
• Drives decisions influencing product design, functionality, and operations.
• Acts as a function-wide SME in focus areas and contributes to engineering community practices.

Skills

Java

Spring Boot

Microservices

Python

AI governance

Secure coding

Independent worker

Problem solving

Tools

AI-assisted development tools

Job description

Be an integral part of an agile team that constantly pushes the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Investment Bank (CIB), AI Enablement 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

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 Java, Springboot, Microservice Architecture
• Experience working in Python
• 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

Preferred qualifications, capabilities, and skills

• Practical cloud native experience
• Strong problem-solving, analytical, and communication skills