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.