Lead Software Engineer Agentic Java

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $208k
$180k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $191,300–$223,750.

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 Agentic Java

As a Lead Software Engineer-Agentic/Java within the Consumer and Community Bank, you will join an agile team to build and deliver secure, scalable, and stable market-leading technology products. You will serve as a core technical contributor responsible for designing, building, and operating cloud-native backend systems while troubleshooting complex problems and developing high-quality production code. Your daily work involves managing Spring Boot microservices, modern databases, and Kubernetes containerized applications within an AWS environment. You will lead evaluation sessions with vendors, drive the adoption of enterprise-authorized AI-assisted engineering practices for code review and testing, and lead communities of practice to promote emerging technologies. The role requires advanced Java programming, proficiency in CI/CD automation, and a deep understanding of financial services IT systems to solve critical technical challenges across various business functions.

What you'll do

  • Design, build, and operate scalable, resilient, and cloud-native backend systems using Java and Spring Boot.
  • Develop secure production code while reviewing and debugging code written by other team members.
  • Identify and automate the remediation of recurring issues to improve overall system operational stability.
  • Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices for coding, refactoring, and testing.
  • Establish validation standards for AI outputs to ensure code quality, security, and performance.
  • Lead communities of practice to promote the use of leading-edge technologies across software engineering teams.
  • Manage containerized applications using Kubernetes and AWS infrastructure.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Advanced proficiency in the Java programming language.
  • Experience designing, deploying, and managing containerized applications using Kubernetes.
  • Practical experience with AWS cloud infrastructure.
  • Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies including CI/CD, application resiliency, and security.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and ensuring responsible AI practices.

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