Lead Java AWS Engineer with AI-Driven Dev Excellence

JPMorganChase; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorganChase in Plano, TX seeks a Lead Software Engineer to drive design, development, and delivery of scalable, secure financial software. You will mentor engineers, own critical services, and collaborate across product, security, and operations to ensure reliability.

The role emphasizes modern cloud-native architectures, microservices, AI-assisted practices, and resilient deployments, with a strong focus on code quality, performance, and incident response in a fast-paced banking environment.

Qualifications

• Formal training or certification in software engineering and 5+ years of development experience.
• Strong backend with Java Spring Boot and/or Node.js; proficient in microservices.
• Frontend skills (HTML, CSS, JavaScript/TypeScript) and React or Angular for full-stack work.
• Experience with AI-assisted development tools and secure coding practices.
• Experience with cloud platforms and distributed systems.

Responsibilities

• Deliver cloud-native, microservices-based solutions and troubleshoot complex issues.
• Lead end-to-end development with emphasis on reliability and scalability.
• Promote enterprise AI-assisted engineering practices and standardize validation.
• Shape domain models and design scalable, secure architectures.
• Review code, optimize performance, and mentor teammates.
• Drive continuous improvement in CI/CD, testing, and incident response.

Skills

Java/Spring

Node.js

Frontend stack

React/Angular

Cloud platforms

REST/WebSockets

SQL/NoSQL

CI/CD

AI-assisted dev

Secure coding

Agile/Scrum

Tools

AWS

Azure

GCP

Job description

JPMorganChase in Plano, TX seeks a Lead Software Engineer to drive design, development, and delivery of scalable, secure financial software. You will mentor engineers, own critical services, and collaborate across product, security, and operations to ensure reliability.

The role emphasizes modern cloud-native architectures, microservices, AI-assisted practices, and resilient deployments, with a strong focus on code quality, performance, and incident response in a fast-paced banking environment.