Lead Software Engineer

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
New York, NY
Employment
Full-time
Posted
46 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $177k
$129k $246k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,362–$208,800.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer

As a Lead Software Engineer within the Digital Technology, Personalization & Insights team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting secure, high-quality production code while conducting critical technology solutions across various business functions. Your daily work involves driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational stability. You will lead evaluation sessions with external vendors and internal teams to probe architectural designs and technical credentials. Required skills include advanced experience with Java, Spring Boot, and Kafka, alongside practical cloud native experience and knowledge of CI/CD and application resiliency. You must navigate the financial services industry context to solve complex problems regarding secure software development and responsible AI use.

What you'll do

  • Develop secure, high-quality production code and perform code reviews and debugging for other team members.
  • Design and execute creative software solutions to solve complex technical problems beyond conventional approaches.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish consistent validation standards for secure coding, peer reviews, and automated testing.
  • Identify and automate the remediation of recurring issues to improve overall operational stability of software systems.
  • Lead evaluation sessions with external vendors and internal teams to probe architectural designs and technical credentials.
  • Apply knowledge of SDLC toolchains and automation capabilities to improve the value realized by automated processes.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced experience with Java, Spring Boot, and Kafka.
  • Demonstrated experience leading the use of approved AI-assisted software development tools for coding, review, and troubleshooting.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
  • Proficiency in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Practical cloud native experience.

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