Sr Lead Software Engineer - Platform Engineering

JPMorgan Chase & Co.; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Austin seeks a Sr Lead Software Engineer to help design, build, and evolve a proprietary Java framework built on Spring Boot, with a focus on scalability and security.

You will own release strategies, drive test automation, lead code reviews, and collaborate across global platform teams while aligning with enterprise AI-assisted engineering practices and cloud CI/CD tooling.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Significant Java engineering experience with framework or platform library development.
• Strong understanding of Spring Boot internals and application context.
• Experience building test automation for library/framework code.
• Understanding of semantic versioning and multi-version support strategies.
• Experience with containerized applications and runtime systems (JVM/GC).
• Experience leading effective use of AI-assisted development tools and code reviews.
• Strong system design skills for long-lived architectural decisions.
• Hands-on cloud CI/CD tooling (Terraform, Spinnaker) and IaC concepts.

Responsibilities

• Design, build, and maintain a proprietary Java framework built on Spring Boot—starters, auto-configuration, and integration with standard libraries.
• Own and evolve the framework versioning and release strategy across multiple active major versions.
• Build and maintain the test automation strategy for the framework: unit, integration, and contract tests.
• Conduct rigorous, high-quality PR reviews and raise the technical standard of the team.
• Own the team's approach to containerized delivery and image strategy interactions.
• Contribute to shared platform services and understand the full build-to-runtime flow.
• Drive adoption of AI-assisted engineering practices with validated outputs and security controls.
• Apply core SDLC tooling knowledge to improve automation and efficiency.
• Participate in global platform design discussions and represent Austin's perspective.

Skills

Java

Spring Boot

Framework development

Test automation

CI/CD

Cloud

AI-assisted engineering

Leadership

Platform design

Containerization

Tools

Terraform

Spinnaker

OpenTelemetry

Kafka

Job description

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 theframework versioning and release strategy — supporting multiple active major versions simultaneously while managing consumer migrations deliberately
• Build and maintain thetest 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
• Conductrigorous, 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 tocontainerized delivery — including framework integration with managed container images, container runtime behavior, and how the framework layer interacts with the platform's image strategy
• Contribute toshared 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 inglobal platform design discussionswith 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
• Applysystem 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 inframework or platform library development— candidates should be able to speak to versioning, compatibility, and testing challenges specific to shared library work
• Strong understanding ofSpring 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 ofsemantic 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 withcontainerized 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 withcore 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
• Strongsystem 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 atechnical 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 withKafka, Cassandra, or OpenTelemetry instrumentation at the framework/starter level
• Prior experience building or maintaining aninternal Java framework built on Spring Boot, or equivalent proprietary platform library in a large organization
• Experience in alarge-scale engineering organization — where decisions affect many teams, migrations require coordination at scale, and platform stability is a hard constraint
• Background infinancial services — understanding of the regulatory, audit, and controls environment that shapes how platform software is built and operated in a bank
• Experience working acrossgeographically distributed teams in a senior or lead capacity