Lead Software Engineer - Python, AWS, Big Data

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, AWS, Big Data at JPMorgan Chase within the Corporate Technology-Digital Workflows team, you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable.

Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities


* Builds data processing pipeline and deploys applications in production


* 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 and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture


* 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


* Formal training or certification on Software Engineering concepts and 5+ years applied experience


* Experience on Bigdata, Data platforms and Data Engineering concepts


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


* End to end understanding and hands on experience with Developing Data Pipeline Processes


* Programming experience in Python, FAST API, Spark


* Technically competent in various AWS Services - Lambda, Glue, Step Function, ECS, AWS Infrastructure provisioning through Terraform


* Demonstrated experience leading the effective use of approved AI-assisted software development tools (e.g., for coding, c...