Lead Software Engineer, Java/Spring Boot

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
42 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $202k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $192,050–$211,200.

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 Engineer, Java/Spring Boot

As an AWS Lead Software Engineer-Java/Spring Boot on the Connected Commerce team, you will join an agile team focused on designing, developing, and delivering secure, stable, and scalable software components for state-of-the-art technology products. You will manage the full software development lifecycle by writing high-quality code, troubleshooting complex technical problems, and analyzing large data sets to inform decision-making. Your daily work involves building microservices and REST APIs while driving team adoption of enterprise-authorized AI-assisted engineering practices for code review and test acceleration. The role requires proficiency in Java, Spring Boot, and database querying languages, alongside experience with CI/CD, application resiliency, and security. You will also utilize cloud technologies including AWS EC2, EKS, Lambda, and S3 to solve technical challenges while ensuring the secure handling of data within modern engineering workflows.

What you'll do

  • Develop, code, and troubleshoot high-quality software solutions using Java and Spring Boot.
  • Design and implement microservices and REST APIs with consideration for upstream and downstream systems.
  • Analyze large, diverse datasets to identify problems and inform decision-making for stable application development.
  • Implement automation within the Software Development Life Cycle toolchain to improve delivery value.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices for code review, refactoring, and testing.
  • Establish validation standards for AI-generated outputs to ensure security, performance, and accuracy.
  • Manage technical troubleshooting to resolve complex issues within a secure and scalable cloud environment.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Experience developing, debugging, and maintaining code in large corporate environments using modern programming and database querying languages.
  • Proficiency in developing, debugging, and maintaining code using Java, Spring Boot, Microservices, and REST APIs.
  • Experience across the full Software Development Life Cycle.
  • Exposure to agile methodologies including CI/CD, Application Resiliency, and Security.
  • Emerging knowledge of software applications and technical processes such as cloud, AI, machine learning, or mobile.
  • Demonstrated experience leading the use of approved AI-assisted development tools and coaching others on safe, compliant adoption.
  • Familiarity with modern front-end technologies like React.JS or Angular (preferred); exposure to AWS technologies like EC2, EKS, Lambda, and S3 (preferred).

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