Lead Software Engineer - Java/Python; AWS; Kubernetes

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

As a Lead Software Engineer at JPMorganChase within the Corporate Technology, 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


* Execute standard software solution design, development, and technical troubleshooting across Java, Python, and Node.js in distributed cloud environments


* Execute standard software solution design, development, and technical troubleshooting across Java, Python, and Node.js in distributed cloud environments


* Write secure, high-quality code using at least one programming language, applying best practices with limited guidance and contributing to peer code reviews


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Design, develop, and troubleshoot software with consideration of upstream and downstream systems and their technical implications across AWS and Kubernetes environments


* 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


* Proficiency in Java or Python as a primary development language, with experience developing, debugging, and maintaining code in ...