Senior Lead Full Stack Java Engineer

Location: Columbus, OH or Plano, TX (onsite)

About the role

JPMC is building a new engineering team supporting next-generation AI features and enhancements within the Chase Mobile App. This is a highly visible, fast-moving initiative requiring senior engineers with strong backend development expertise and modern cloud-native experience. The ideal candidate will bring deep Java and microservices expertise, along with hands-on experience in Spring Boot, Kafka, Cassandra, Kubernetes, AWS, CI/CD, and exposure to AI-assisted software engineering.

Responsibilities

• Design, develop, test, and maintain secure, scalable, production-grade applications.
• Lead backend-focused full-stack engineering initiatives using Java and Spring Boot.
• Build and enhance microservices and event-driven applications using Kafka and related technologies.
• Design and deploy containerized applications using Kubernetes and AWS.
• Develop automated testing and CI/CD solutions to improve delivery speed and quality.
• Provide technical leadership, code reviews, debugging, and engineering guidance.
• Drive application resiliency, security, scalability, and operational stability.
• Contribute to architectural and technical decisions across the application lifecycle.
• Leverage approved AI-assisted engineering tools for coding, refactoring, testing, troubleshooting, and root-cause analysis.
• Establish appropriate validation, security, and responsible-AI practices when using AI-assisted development tools.
• Collaborate within Agile teams and influence engineering standards and best practices.

Requirements

• 5+ years of software engineering experience.
• Advanced Java development experience.
• Strong experience with Spring Boot and microservices.
• Hands-on Kafka experience.
• Experience with Cassandra/NoSQL databases.
• Strong understanding of CI/CD and software development lifecycle practices.
• Hands-on experience with Kubernetes and containerized applications.
• Experience with AWS/cloud technologies.
• Strong understanding of application resiliency, security, automation, and Agile methodologies.
• Experience with AI/ML technologies or AI-assisted software development.
• Strong production support, troubleshooting, and problem-solving skills.
• Financial services/enterprise technology experience preferred.

Preferred Qualifications

• GitHub/Microsoft Copilot experience.
• AWS Solutions Architect certification.
• Strong Spring Boot expertise.
• Experience with AI-enabled applications or engineering workflows.

Best Fit

Senior Java engineers who are backend-heavy, cloud-native, strong in microservices/Kubernetes/Kafka, and have some exposure to AI or AI-assisted development.