Lead Cloud & Software Engineer (AWS/GCP) – AI-Driven

JPMorganChase; Jersey City (NJ); In loco; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Jersey City to join an agile team focused on building trusted market-leading technology products. You will contribute technically across multiple areas, delivering secure, scalable software while advancing AI-assisted engineering practices.

The role emphasizes production-grade code, design reviews, and collaboration with internal teams and external vendors. Strong cloud and Linux experience are beneficial.

Competenze

• Formal training or certification in software engineering with 5+ years of practical experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Experience with Java development.
• Knowledge of cloud platforms (AWS or GCP).
• Familiar with Agile methodologies such as CI/CD, Applicant Resiliency, and Security.
• Familiar with Linux/UNIX environment.
• Experience working with AI agents for engineering.

Mansioni

• Executes creative software solutions, design, development, and debugging.
• Develops secure high-quality production code and reviews peers' code.
• Improves stability by automating remediation of recurring issues.
• Leads evaluation sessions with vendors and teams on architecture.
• Leads communities of practice to promote new technologies.
• Drives AI-assisted engineering practices with secure coding and testing standards.
• Uses SDLC tools to boost automation and value.

Conoscenze

Java development

CI/CD

Linux/UNIX

Agile methodologies

AI in engineering

Security concepts

Operational stability

System design

Strumenti

AWS

GCP

Terraform

Automation testing

SDLC tools

Descrizione del lavoro

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Jersey City to join an agile team focused on building trusted market-leading technology products. You will contribute technically across multiple areas, delivering secure, scalable software while advancing AI-assisted engineering practices.

The role emphasizes production-grade code, design reviews, and collaboration with internal teams and external vendors. Strong cloud and Linux experience are beneficial.