Lead Software Engineer - Python/Data/PySpark/AWS

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 Consumer & Community Banking, JPMWM Tech, 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems


* Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development


* Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems


* Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture


* Contributes to software engineering communities of practice and events that explore new and emerging 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.


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


* Detects, troubleshoots and Resolves Production issues in an Enterprise multi-environment settings using advanced observability tools

Required qualifications, capabilities, and skills:



* Formal training or certification on software engineering concepts and 5+ years applied experience


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


* Proficient in coding in one or more languages - Java, Python


* Proficient in private and public Cloud hosted Platform - Pivotal Cloud, AWS.

In-depth knowledge is a must for AWS ECS, S3, SQS, SNS, Lambda, Glue, pySpark, cloudwatch


* Experienced in ...