Manager of Software Engineering - Java/DevOps/AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Manager of Software Engineering at JPMorgan Chase within the Asset and Wealth Management - Asset and Wealth Management Technology & Operations team, you will be an integral part of an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner.

Job responsibilities:


* Collaborate with engineers to design, build, and deploy applications aligned with business and functional requirements.


* Contribute to Java-based microservices using streaming, non-blocking, and reactive programming paradigms; write production-quality code.


* 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.


* Work with Kafka, IBM MQ, Kubernetes (K8s), Redis, Amazon MSK, and AWS services to deliver scalable, efficient systems.


* Support domain-driven design adoption and participate in architectural discussions.


* Contribute to technical documentation and service APIs (Swagger/OpenAPI), ensuring strong logging, auditability, security, and monitoring.


* Participate in API design sessions and help select appropriate design patterns and integration approaches.


* Engage in code reviews; promote TDD/BDD practices to ensure maintainability and quality.


* Assist in demonstrating service scalability and resilience using mock frameworks, performance testing, and related tools.


* Lead communities of practice across Software Engineering to promote awareness and use of new and leading-edge technologies


* Add to team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills:


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

In addition, demonstrated coaching and mentoring experience.


* 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...