Full Stack Lead Software Engineer, Python

JPMorgan Chase

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
New York, NY
Posted
24 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $205k
$187k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$218,809.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Full Stack Lead Software Engineer, Python

As a Full Stack Lead Software Engineer- Python within the Data Management, Data Tech team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting creative software solutions while spearheading the development of real-time, mission-critical systems. Your daily work involves tackling large-scale engineering challenges, optimizing for performance and stability, and leading communities of practice to promote cutting-edge technologies. You will integrate AI-driven approaches into the software development lifecycle, specifically managing the controlled use of large language models like Claude and ChatGPT. The role requires expertise in Python, TypeScript, RAG, Vector, Graph, and AWS. You will solve complex problems within the financial services industry by ensuring application resiliency, security, and automated delivery while overseeing technical evaluations with external vendors to enhance existing information architecture.

What you'll do

  • Design and develop real-time, mission-critical systems using the Python stack.
  • Solve complex engineering challenges to ensure system performance, stability, and scalability.
  • Integrate enterprise-approved AI tools into the software development lifecycle to improve code quality and delivery speed.
  • Lead technical evaluations of external vendors and startups to assess architectural designs and applicability.
  • Lead communities of practice to promote the adoption of leading-edge technologies across the organization.
  • Establish validation standards for AI-assisted engineering, including secure coding and automated testing.
  • Troubleshoot and optimize complex software solutions beyond routine or conventional approaches.

What we're looking for

  • 5+ years of relevant software engineering experience.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Proficiency in all aspects of the Software Development Life Cycle (SDLC).
  • Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security.
  • Practical cloud native experience.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and ensuring responsible AI usage in engineering workflows.
  • Proficiency in Python, TypeScript, RAG, Vector, Graph, AWS, and performance tuning (preferred).

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