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 — making and clearly communicating critical design decisions with long-lived consequences

Required qualifications, capabilities, and skills

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

• Significant Java engineering experience with demonstrable depth in framework or platform library development — candidates should be able to speak to versioning, compatibility, and testing challenges specific to shared library work

• Strong understanding of Spring Boot internals — auto-configuration, condition evaluation, bean lifecycle, and how framework code interacts with application context

• Experience building and maintaining test automation for library/framework code, including integration test harnesses that exercise real downstream behavior

• Understanding of semantic versioning, backward compatibility contracts, and multi-version support strategies — ability to reason about what constitutes a breaking change and manage consumers through one

• Solid experience with containerized applications and container runtime systems — including managed container image strategies, image layering, runtime concerns (JVM/GC arguments, sidecar patterns), and how framework choices affect container behavior

• 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

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

• Hands-on experience with core cloud CI/CD tooling — including infrastructure-as-code (Terraform) and deployment pipeline tooling (Spinnaker); understanding of how platform software is built, versioned, and deployed in a cloud-native environment

• Strong system design skills with the ability to demonstrate critical thinking on architectural trade-offs — particularly decisions that affect a large consumer base over multiple years

• Proven track record as a technical lead — mentoring engineers, conducting substantive code reviews, and raising the quality of a team's output, not just individual output

Preferred qualifications, capabilities, and skills

• Experience with Kafka, Cassandra, or OpenTelemetry instrumentation at the framework/starter level

• Prior experience building or maintaining an internal Java framework built on Spring Boot, or equivalent proprietary platform library in a large organization

• Experience in a large-scale engineering organization — where decisions affect many teams, migrations require coordination at scale, and platform stability is a hard constraint

• Background in financial services — understanding of the regulatory, audit, and controls environment that shapes how platform software is built and operated in a bank

• Experience working across geographically distributed teams in a senior or lead capacity