Lead Software Engineering, Python

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
58 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $208k
$162k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $192,050–$223,712.

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 · Lead Software Engineering, Python

Lead Software Engineering - Python is a key role within Infrastructure Platforms where you will join an agile team to build secure, stable, and scalable technology products. You will design and develop end-to-end cloud-native microservices, perform technical troubleshooting, and utilize domain modeling to create high-quality production code. The role involves leading communities of practice, automating recurring issues, and driving the adoption of AI-assisted engineering practices for tasks like code review and test acceleration. Required skills include over five years of experience in system design and application development using Python, Flask, Django, Java, and Spring Boot. You will work with cloud platforms like AWS or Azure, distributed systems, RESTful APIs, and SQL/NoSQL databases. The position focuses on solving complex architectural challenges to ensure zero-downtime releases and optimized data performance within a banking domain context.

What you'll do

  • Design and develop end-to-end cloud-native, microservices-based applications using modern architectural patterns.
  • Write secure, high-quality production code while reviewing and debugging code written by other engineers.
  • Build scalable systems that eliminate single points of failure and ensure zero-downtime releases.
  • Automate the remediation of recurring issues to improve the operational stability of software systems.
  • Drive the adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish measurable validation standards for secure coding, peer reviews, and automated testing within the SDLC.
  • Lead communities of practice to promote the use of leading-edge technologies across the organization.
  • Mentor other engineers on compliant usage patterns for responsible AI in engineering workflows.

What we're looking for

  • Formal training or certification on software engineering concepts.
  • 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
  • Proficiency in back-end technologies such as Python, Flask, and Django to build microservices-based applications.
  • Hands-on development experience with Java and Spring/Spring Boot for building and supporting services.
  • Experience working with cloud platforms (AWS, Azure, GCP), distributed systems, and web technologies like RESTful APIs and WebSockets.
  • Experience designing and building scalable applications using SQL and NoSQL databases.
  • Advanced understanding of CI/CD, application resiliency, security, and agile methodologies.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and coaching others on responsible AI usage.

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