Sr Lead Software Engineer - Platform Engineering

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Sr Lead Software Engineer - Platform Engineering at JPMorgan Chase within the Commercial & Investment Bank - Payments Technology Space, 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.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities



* Design, build, and maintain a proprietary Java framework built on Spring Boot - starters, auto-configuration, dependency management, and integration with standard libraries for messaging, data, and observability


* Own and evolve the framework versioning and release strategy - supporting multiple active major versions simultaneously while managing consumer migrations deliberately


* Build and maintain the test automation strategy for the framework: unit, integration, and contract tests that give the team confidence that changes are safe before they reach the ~1,000+ application teams that consume each release


* Conduct rigorous, high-quality PR reviews - explaining the why behind feedback, raising the technical standard of the local team through the review process


* Own the team's approach to containerized delivery - including framework integration with managed container images, container runtime behavior, and how the framework layer interacts with the platform's image strategy


* Contribute to shared platform services - the running services that the framework wires applications into at runtime; understanding the full build-to-runtime picture is essential


* 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


* Actively participate in global platform design discussions with counterparts in other locations, representing Austin's perspective and contributing to cross-site architectural decisions


* Diagnose and resolve complex, cross-cutting issues where root cause is in the framework layer rather than in any individual consumer application


* Apply system design principles to framework and platform problems - m...