Lead Java Full-Stack Engineer — AI-driven Cloud & Security

Fairygodboss; Houston (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase Lead Software Engineer in the Digital Identity Team drives secure, scalable software delivery for trusted market-leading products. As a core contributor, you will develop production code, review peers, and push AI-assisted engineering practices to raise code quality and delivery speed.

The role requires expertise in RESTful APIs, cloud-native architectures, and agile CI/CD, with a focus on security and resiliency across multiple business functions.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Experience delivering system design, application development, testing, and operational stability.
• Experience guiding AI-assisted development tools with secure coding practices.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives team adoption of AI-assisted engineering practices to improve quality, speed, and reliability, with validated AI outputs.
• Applies knowledge of SDLC tools, including AI-assisted development and automation, to improve value of automation.
• Identifies opportunities to automate remediation of recurring issues to improve stability.
• Leads evaluation sessions with external vendors and internal teams to probe architectures and applicability.

Skills

RESTful API design

AWS

Kubernetes

Programming languages

AI-assisted development tools

CI/CD

Security & resiliency

Agile methodologies

Cloud native

Tools

ForgeRock/Ping Identity

Job description

JPMorganChase Lead Software Engineer in the Digital Identity Team drives secure, scalable software delivery for trusted market-leading products. As a core contributor, you will develop production code, review peers, and push AI-assisted engineering practices to raise code quality and delivery speed.

The role requires expertise in RESTful APIs, cloud-native architectures, and agile CI/CD, with a focus on security and resiliency across multiple business functions.