Sr Lead Software Engineer - Platform Engineering

• 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

• 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