Lead Software Engineer — Java/Python with AI Features

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 180,000 - 260,000

Full time

3 days ago
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Job summary

JPMorgan Chase & Co. in Jersey City, NJ invites applications for a Lead Software Engineer to design, build, and deliver trusted, scalable technology products in a secure environment. You will lead architecture decisions and drive high-quality outcomes across multiple domains and teams.

In this core technical role, you will champion Java/Spring Boot and Python workloads, deliver RESTful services, and push AI/ML-enabled features from discovery through production rollout and monitoring.

Qualifications

  • Formal training or certification in Software Engineering concepts and 5+ years of applied experience.
  • Strong software engineering experience in Java and Spring Boot.
  • Proficient in Python and integration with enterprise systems.
  • Solid understanding of the SDLC, CI/CD, observability, and security.
  • Experience building and consuming RESTful web services and distributed systems.
  • Hands-on AI/ML production experience; familiarity with LLMs, RAG, vector search.

Responsibilities

  • Design, develop, test, and support enterprise applications using Java, Spring Boot, and Python.
  • Build and maintain RESTful APIs and backend components.
  • Deliver AI/ML-enabled features across the full development lifecycle.
  • Translate business requirements into software and AI/ML specifications.
  • Write secure, high-quality production code and ensure maintainability.

Skills

Java
Spring Boot
Python
RESTful APIs
CI/CD
Agile/SCRUM
AI/ML production
LLMs/RAG/Vector search
Data structures
Security

Job description

JPMorgan Chase & Co. in Jersey City, NJ invites applications for a Lead Software Engineer to design, build, and deliver trusted, scalable technology products in a secure environment. You will lead architecture decisions and drive high-quality outcomes across multiple domains and teams.

In this core technical role, you will champion Java/Spring Boot and Python workloads, deliver RESTful services, and push AI/ML-enabled features from discovery through production rollout and monitoring.

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