Full Stack Lead Software Engineer- Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Data Management, Data Tech 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.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities


* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Lead with an AI-driven approach in daily tasks


* Spearhead the design and development of real-time, mission-critical using Python


* Tackle large-scale engineering challenges with technologies like Python Stack


* Innovate, troubleshoot, and optimize for performance and stability


* Inspire and foster a culture of creativity, inclusion, and technical excellence


* Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies


* Adds to team culture of diversity, opportunity, inclusion, and respect


* 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

Required qualifications, capabilities, and skills


* 5+ years of relevant software engineering experience


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* This role ensures that large language models (LLMs) including models such as Claude, ChatGPT, and comparable enterprise-approved models - are used as controlled, well-understood components of the software engineering lifecycle.


* Proficiency in automation and continuous delivery methods


* Proficient in all aspects of the Software Development Life Cycle


* Advanced understanding of agile methodologies such as C...