Lead Python Engineer - AI-Driven, Secure & Scalable

Next Frontier Capital; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Lead Software Engineer to join Corporate Technology, Financial Planning & Analysis. You will be a core technical contributor driving secure, scalable technology and AI-assisted engineering practices across enterprise teams.

Responsibilities include designing and delivering production-grade software, guiding code quality, and collaborating with vendors and internal teams to align with architectural standards and security requirements.

Qualifications

• Formal training or certification in software engineering with 5+ years of experience.
• Hands-on experience in design, development, testing and operations.
• Advanced in Java, Python, or Scala.
• Strong AWS knowledge and security practices.
• Experience with big data and Apache Spark for large-scale processing.
• Experience using AI-assisted development tools with quality validation.

Responsibilities

• Executes creative software solutions with design, development, and troubleshooting.
• Develops secure, high-quality production code and reviews others' work.
• Leads AI-assisted engineering practices to improve code quality, speed, and reliability.
• Applies SDLC and automation tools to increase value and consistency.
• Identifies opportunities to automate recurring issues and improve stability.
• Leads evaluation sessions with vendors and teams on architectural designs.

Skills

Java

Python

Scala

AWS

Apache Spark

AI-assisted dev tools

Responsible AI

CI/CD

Agile

Security

Education

Bachelor's degree or related field

Job description

JPMorganChase in Jersey City seeks a Lead Software Engineer to join Corporate Technology, Financial Planning & Analysis. You will be a core technical contributor driving secure, scalable technology and AI-assisted engineering practices across enterprise teams.

Responsibilities include designing and delivering production-grade software, guiding code quality, and collaborating with vendors and internal teams to align with architectural standards and security requirements.