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
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