Lead Backend Engineer • Java/Spring Boot + Cloud AI

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Plano, TX to drive end-to-end software solutions in a secure, scalable, cloud-native environment.

You will contribute as a core technical leader across an agile team, delivering trusted market-leading technology products for the Corporate Sector. You will design, develop, and optimize microservices-based applications, mentor peers, and advance AI-assisted engineering practices to improve code quality and delivery speed while ensuring

Qualifications

• 5+ years of software engineering with system design, development, testing, and operational support.
• Experience building microservices on cloud platforms and RESTful services.
• Strong communication, collaboration, and problem-solving skills.

Responsibilities

• Execute creative software solutions with design, development and troubleshooting.
• Deliver cloud-native, microservices-based applications using modern technologies.
• Use domain modeling to build scalable business products with clear structure and testability.
• Develop secure high-quality production code and review others' code.
• Lead communities of practice to promote new technologies and practices.
• Drive AI-assisted engineering adoption to improve quality, speed, and outcomes.
• Leverage SDLC tools to improve automation and testing.
• Design scalable, zero-downtime releases and optimize data performance.

Skills

Java

Spring Boot

Node.js

RESTful APIs

SQL & NoSQL

Cloud Platforms

CI/CD

Agile methodologies

Team leadership

Tools

AWS

Azure

GCP

Job description

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Plano, TX to drive end-to-end software solutions in a secure, scalable, cloud-native environment.

You will contribute as a core technical leader across an agile team, delivering trusted market-leading technology products for the Corporate Sector. You will design, develop, and optimize microservices-based applications, mentor peers, and advance AI-assisted engineering practices to improve code quality and delivery speed while ensuring