AI Java AWS Lead Software Engineer

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $190k
$162k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $169,050–$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 · AI Java AWS Lead Software Engineer

As an AI Java AWS Lead Software Engineer within the Consumer and Community Banking Connected Commerce team, you will serve as a core technical contributor in an agile environment. You will design, develop, and troubleshoot high-quality, secure code while solving complex technical problems to ensure stable and scalable application delivery. Your role involves driving the adoption of enterprise-authorized AI-assisted engineering practices for tasks like code review, refactoring, and test acceleration while ensuring responsible AI usage and security standards. You will manage infrastructure and model monitoring using Prometheus and Grafana, and lead communities of practice regarding emerging technologies. The role requires expertise in Java, Spring Boot, Spring Cloud, AWS, and tools like Splunk, Dynatrace, and Postman. You will work on building trusted market-leading technology products while managing large datasets to improve operational stability and automation.

What you'll do

  • Develop and troubleshoot high-quality, secure code using Java, Spring Boot, and Spring Cloud.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish validation standards for AI outputs including security, performance, and peer review protocols.
  • Set up monitoring and reliability for infrastructure and models using Prometheus and Grafana.
  • Design and develop scalable systems while considering upstream and downstream technical implications.
  • Automate the remediation of recurring issues to improve the operational stability of software applications.
  • Lead communities of practice to promote the use of leading-edge technologies across Software Engineering.
  • Analyze large, diverse datasets to identify problems and inform decision-making for secure application development.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • 8+ years of experience in full life cycle development.
  • Experience leading various levels of Software Engineers.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and coaching others on safe, compliant adoption.
  • Hands-on coding experience in Java, Spring Boot, and Spring Cloud concepts with AWS knowledge.
  • Experience using monitoring and tracing tools such as Splunk, Dynatrace, and Postman.
  • Familiarity with agile methodologies including CI/CD, application resiliency, and security.

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