Lead Quant Dev Engineer - Cloud-Native & AI-Driven

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 185,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer to join the Asset and Wealth Management team. You will be a core technical contributor delivering trusted, scalable, cloud-native solutions across multiple business functions.

You will lead design, development and operational excellence, mentor engineers, and advance AI-enabled practices while upholding secure coding and reliability standards in a fast-paced, agile environment.

Qualifications

• 5+ years of hands-on software engineering experience in design, development, testing, and operations.
• Strong backend with Python and Java; microservices and APIs.
• Experience with AWS cloud and distributed systems.
• Experience with SQL and NoSQL databases.
• Familiar with Agile (Scrum) and SDLC.
• Understanding of resiliency and secure coding practices.
• Experience with AI-assisted software development tools.
• Knowledge of responsible AI use in engineering workflows.

Responsibilities

• Develop cloud-native, microservices-based applications and APIs with secure, scalable design.
• Deliver end-to-end solutions and troubleshoot critical issues.
• Use domain modeling to build scalable business products.
• Lead AI-enabled engineering practices and tooling adoption.
• Improve operational stability by automating remediation and monitoring.

Skills

Python

Java

AWS

REST APIs

SQL/NoSQL

CI/CD

Secure coding

AI tools

Agile

Education

Formal software engineering training

Tools

Docker

Kubernetes

RESTful APIs

Job description

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer to join the Asset and Wealth Management team. You will be a core technical contributor delivering trusted, scalable, cloud-native solutions across multiple business functions.

You will lead design, development and operational excellence, mentor engineers, and advance AI-enabled practices while upholding secure coding and reliability standards in a fast-paced, agile environment.