Lead Software Engineer - Cloud-Native, Secure & Scalable

Aumni; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase, within Infrastructure Platforms, is seeking a Lead Software Engineer to drive design, development, and delivery of scalable, secure software across multiple technologies and applications. You will lead technically, collaborate with cross-functional teams, and champion AI-assisted development practices.

The role emphasizes building zero-downtime releases, robust data performance, and governance of AI-assisted engineering tools to improve quality and speed while maintaining strong

Qualifications

• Formal software engineering training or the equivalent with 5+ years of hands-on experience.
• proficiency in back-end technologies and microservices; includes Python/Java, REST, and modern web tech.
• Experience with cloud platforms (AWS/Azure/GCP) and CI/CD practices.
• Experience leading AI-assisted engineering practices and secure coding expectations.

Responsibilities

• Execute creative software solutions, design, development, and troubleshooting beyond routine approaches.
• Deliver end-to-end cloud-native microservices solutions with the latest tech.
• Use domain modeling to build scalable, testable software.
• Develop secure high-quality production code and review others' code.
• Identify opportunities to automate remediation and improve stability.
• Lead communities of practice to drive adoption of new technologies and inclusive culture.
• Design scalable, zero-downtime architectures and secure data handling.
• Promote AI-assisted tooling to improve code quality, speed, and reliability.

Skills

Python

Java

Spring Boot

REST APIs

AWS

CI/CD

Tools

Docker

Kubernetes

Git

Jenkins

Job description

JPMorganChase, within Infrastructure Platforms, is seeking a Lead Software Engineer to drive design, development, and delivery of scalable, secure software across multiple technologies and applications. You will lead technically, collaborate with cross-functional teams, and champion AI-assisted development practices.

The role emphasizes building zero-downtime releases, robust data performance, and governance of AI-assisted engineering tools to improve quality and speed while maintaining strong