Lead Software Engineer - Data Engineer [AWS, SQL, Python/Java]

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 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.

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 breakdown technical problems


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


* 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.


* 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

Required qualifications, capabilities, and skills



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


* Strong experience in Data Engineering, Python, SQL, AWS Tech Stack


* Strong hands-on Python/Java development experience, with the ability to design, build, and support production-grade applications and data pipelines.


* Strong SQL skills and experience working with data processing and data engineering workloads.


* Hands-on experience with AWS cloud services and building cloud-native solutions.


* Strong experience with Databricks, including development and processing of large datasets.


* Solid software engineering fundamentals, with experience delivering and supporting solutions in a production environment.


* Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set tea...