Lead Software Engineer - Python/PySpark/Databricks/AI

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 - Python/Pyspark/Databricks/AI at JPMorganChase within the Consumer and Community Banking 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


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


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


* 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


* 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



* 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


* Excellent knowledge and experience in System Design, Domain Driven Design and Microservices


* Experience leading in monolith to microservices journey of a 1000+ TPS, 24/7 platform


* Experience with Architectural patterns for Scalability, High Availability, Performance & Disaster Recovery


* Mandatory hands-on experience on core Java, Python, Spring and REST services


* Experience with Kubernetes, Docker & Service mesh, SQL & NoSQL Databases, CI/CD tools like Jenkins, Version Control tools (BitBucket, Git), managing and ...