Lead Software Engineer - Python & Java, Cloud-Native & AI

Testing Site - JPMC

New York (NY)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

JPMorgan Chase is seeking a Lead Software Engineer to join the Wholesale Credit Risk Technology Analytics Team. You will be a core contributor building trusted, scalable tech products, delivering secure production code, and guiding junior engineers in a fast-paced agile environment.

You will lead design reviews, drive automation, and collaborate with external vendors and internal teams to advance architectural maturity and operational stability across multiple domains.

Qualifications

  • Formal training or certification in software engineering with 5+ years of hands-on experience.
  • Experience delivering system design, application development, testing, and operational stability.
  • Advanced Java and Python coding skills.
  • Proficiency in automation and continuous delivery methods.
  • Deep understanding of SDLC and agile practices (CI/CD, resiliency, security).

Responsibilities

  • Executes creative software solutions, design, development, and troubleshooting.
  • Develops secure production code and reviews peers’ code.
  • Identifies opportunities to automate remediation of recurring issues.
  • Leads evaluation sessions with vendors and teams on architecture and tech applicability.
  • Leads communities of practice to promote new technologies.
  • Provides guidance to junior software engineers.
  • Contributes to a culture of diversity, inclusion, and respect.

Skills

Java
Python
CI/CD
Agile methodologies
Security
Cloud
LLM Engineering

Education

Software engineering certification/training

Tools

AWS
Databricks
LLM tooling

Job description

JPMorgan Chase is seeking a Lead Software Engineer to join the Wholesale Credit Risk Technology Analytics Team. You will be a core contributor building trusted, scalable tech products, delivering secure production code, and guiding junior engineers in a fast-paced agile environment.

You will lead design reviews, drive automation, and collaborate with external vendors and internal teams to advance architectural maturity and operational stability across multiple domains.

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