We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Software Engineer at JPMorganChase within AMDP (AIML Data Platforms), 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 developing and supporting technology solutions across multiple technical areas 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
- Works closely with product managers and data strategy professionals to advance the firm’s agenda in AI for Data
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Required qualifications, capabilities, and skills
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong Python Architecture and Development skills. Must also be familiar with developing solutions in a containerized 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 team expectations for validating AI outputs for correctness, performance, and security.
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Any background in graph databases (especially RDF stores like AWS Neptune)
- Working familiarity with Gen AI Engineering tools/frameworks - capable of designing / building pipelines
