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 to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• 8 years of software engineering experience building distributed systems with large data volumes and real-time distribution.
• Solid Java proficiency with a strong willingness to code hands-on.
• Practical understanding of CI/CD, DevOps toolchains, and agile, test-driven delivery.
• Hands-on experience with reactive, non-blocking, streaming Java; microservices; domain-driven design; and cloud technologies.
• Experience with:
  • Caching: Redis, GemFire, or Apache Ignite
  • Messaging/streaming: Kafka, IBM MQ
• Working knowledge of microservices, REST APIs, SQL and NoSQL databases, and event-driven architectures. 

Preferred qualifications, capabilities, and skills:

• Experience with the Spring ecosystem and AWS cloud services.
• Familiarity with trading systems; exposure to the FIX protocol is a plus.
• Ability to solve complex, mission-critical problems with a pragmatic, hands-on approach.
• Continuous learner and early adopter of emerging technologies and methodologies.