Lead Software Engineer - Cloud Platform Engineering- AWS, Python

About this role

As a Lead Software Engineer at JPMorgan Chase within our agile engineering team, you will architect, design, and deliver robust, market-leading technology solutions that are secure, stable, and scalable. You will play a pivotal role in driving critical technology initiatives across multiple domains, supporting the firm’s strategic business objectives. Your expertise will be instrumental in elevating our engineering standards and fostering innovation within the organization.

Job Responsibilities

• Lead the design, development, and implementation of scalable platform solutions, leveraging advanced troubleshooting skills and innovative approaches to address complex infrastructure and integration challenges.
• Develop and maintain high-quality, secure production code and automation scripts, ensuring seamless integration and reliability across enterprise platforms and infrastructure.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Produce comprehensive architecture and design documentation for complex applications, ensuring all design constraints and best practices are adhered to throughout the software development lifecycle.
• Gather, analyze, and synthesize large, diverse data sets to develop actionable visualizations and reporting, driving continuous improvement of software applications and system performance.
• Proactively uncover hidden issues and patterns wit...