Drimva

JPMorgan Chase

Java Lead Software Engineer

$157K–$215K

Jersey City, NJ · Full-time · Posted Sep 21, 2026

About the job

Designs, develops, and supports secure, scalable full-stack software products for Governance and Controls Technology, while leading responsible use of AI-assisted engineering tools.

What you'll do

  • Design, develop, test, and troubleshoot production applications; create architecture and design artifacts and maintain operational stability.
  • Use approved AI coding tools to improve delivery and quality, validate generated outputs, and coach engineers on safe, compliant use.
  • Analyze data and system patterns to improve applications, coding hygiene, and architecture; contribute to engineering practices and emerging-technology communities.

What they ask for

  • Practical experience in system design, application development, testing, and operational stability, including production business-critical applications.
  • Proficiency in Java, Spring Boot, JPA, and SQL; experience with React and other front-end technologies.
  • Experience using and leading effective, responsible use of enterprise-authorized AI-assisted development tools, including validating outputs for correctness, performance, and security.
  • Knowledge of cloud-based development, large corporate codebases, database querying, and the SDLC, including agile practices, CI/CD, resiliency, and security.

Nice to have

  • Python for model development, experimentation, and integration with LLM APIs.
  • Cloud platforms such as AWS, Azure, or Google Cloud Platform; Docker, Kubernetes, and microservices.

Pay

$156,750.00-$215,000.00 USD base salary

Tools

Java, Spring Boot, JPA, SQL, React, Python, AWS, Azure

AI focus

Uses and leads responsible adoption of enterprise-authorized AI-assisted software development tools for coding, testing, troubleshooting, and documentation; validates outputs and coaches engineers on secure, compliant workflows. The posting also mentions Python for model development and experimentation and integration with LLM APIs as preferred experience.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)