JPMorgan Chase
Manager of Software Engineering - Analytics & Feedback Platforms
Columbus, OH · Manager · Full-time · Posted Sep 28, 2026
- Experience
- 5+ years of applied experience; alternatives not stated.
- Education
- Formal training or certification on software engineering concepts. Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience, is listed as preferred.
About the job
Leads software engineering teams in the Employee Platforms organization, overseeing delivery, engineering practices, compliance, and responsible adoption of AI-assisted development and automation.
What you'll do
- Guide engineers, set team expectations, and coach and mentor team members.
- Lead adoption of authorized AI-assisted engineering and SDLC/TLM automation, including validation and secure-use practices.
- Coordinate dependencies and stakeholder relationships to deliver applications that meet business, compliance, and service requirements.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience, plus coaching and mentoring experience.
- Experience leading technology teams and delivering complex initiatives from concept through production.
- Hands-on experience across the full Software Development Life Cycle, with a strong full-stack background in backend development and integrations.
- Expert knowledge of one or more programming languages; advanced understanding of Agile, CI/CD, resiliency, security, observability, and cloud-native practices.
Nice to have
- Advanced proficiency in Java, JEE, Spring, Spring Boot, REST APIs, Kafka, and automated and integration testing.
- Financial services technology experience and practical cloud-native experience.
Tools
Java, JEE, Spring, Spring Boot, REST APIs, Kafka, CI/CD, cloud-native
AI focus
Leads responsible adoption of enterprise-authorized AI-assisted development and delivery tools, defining human review and validation practices, measuring outcomes, and ensuring secure data handling and governance.
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