AI Java AWS Lead Software Engineering

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
46 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 Engineering

As an AI Java AWS Lead Software Engineering professional within the Consumer & Community Banking Trust and Security Team, you will serve as a core technical contributor in an agile environment. You will design, develop, test, and support secure, scalable software solutions while building RESTful APIs, microservices, and event-driven integrations. Your daily work involves utilizing Java, Spring Boot, AWS cloud technologies, and Kafka to deliver stable products. A primary focus of this role is driving the adoption of enterprise-authorized AI-assisted engineering practices for code review, refactoring, and test acceleration while ensuring secure coding standards. You will lead technical design discussions, troubleshoot complex infrastructure issues, and mentor engineers. The work centers on building trusted market-leading technology products within a highly controlled environment focused on security, stability, and risk management for the firm's business objectives.

What you'll do

  • Develop and support secure, scalable software solutions using Java, Spring Boot, AWS, and Kafka.
  • Build and maintain RESTful APIs, microservices, and event-driven integrations.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Lead technical design discussions and contribute to architecture decisions for high-availability applications.
  • Troubleshoot complex issues across cloud infrastructure, application layers, and eventing platforms.
  • Implement engineering best practices including CI/CD, automated testing, observability, and secure coding.
  • Identify opportunities to automate or eliminate recurring issues to improve operational stability.
  • Mentor engineers on responsible AI usage, data sensitivity, and secure development standards.

What we're looking for

  • Formal training or certification on software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Experience with Java and Spring Boot.
  • 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 security.
  • Experience designing and building RESTful APIs, microservices, and distributed backend services.
  • Practical experience developing, deploying, or supporting applications using AWS cloud technologies.
  • Experience with Kafka or similar event-streaming platforms.

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