Lead Software Engineer, Full-Stack Java, React & AI

JPMorgan Chase

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
52 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $183k
$132k $235k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,600–$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 1214 open roles on FindRole.

Listed pay typically runs $166,250–$237,500 across 6 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Full-Stack Java, React & AI

As a Lead Software Engineer within Asset & Wealth Management, you will join an agile team to build and deliver secure, scalable technology products for enterprise-scale managed-account platforms. You will own application components end-to-end across the SDLC, translating complex requirements into technical plans while leading technical discovery and solution design. Your daily work involves designing high-performance services, coaching engineers through code reviews, and driving the adoption of AI-assisted engineering practices. You will utilize Java, J2EE, Spring Boot, Hibernate, REST APIs, and relational databases like Oracle or Sybase. Technical skills include microservices, Domain-Driven Design, SQL, and CI/CD tools like Jenkins and Maven. You will also leverage AI tools such as GitHub Copilot and Claude Code while ensuring secure, responsible AI usage within financial services.

What you'll do

  • Own application components end-to-end across the SDLC, including architecture, build, test, deployment, and production support.
  • Design and deliver secure, resilient, high-performance services for enterprise-scale managed-account platforms.
  • Lead technical discovery, solution design, and complexity estimation for high-impact initiatives.
  • Coach engineers through code reviews, pairing, and the establishment of pragmatic engineering standards.
  • Drive adoption of enterprise-approved AI-assisted engineering practices to improve quality and operational outcomes.
  • Create high-quality prompts and reusable guidance to provide AI agents with business and architectural context.
  • Improve CI/CD pipelines, test automation, and developer experience by reducing manual effort.
  • Apply architectural patterns such as DDD, microservices, and event-driven designs where they add value.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • 10+ years of hands-on enterprise software engineering experience using Java, J2EE, REST APIs, Spring Boot, Hibernate, microservices, and relational databases.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and coaching engineers on safe, compliant adoption.
  • Strong experience designing highly scalable, secure, resilient, and observable distributed systems.
  • Deep understanding of object-oriented design, Domain-Driven Design, microservices patterns, and modern cloud-native architectures.
  • Strong test-driven development skills with practical experience using JUnit, Mockito, Cucumber, or comparable automation frameworks.
  • Proficiency in SQL, complex queries, and database change management; Liquibase experience is beneficial (preferred).
  • Experience with Agile software delivery and building CI/CD pipelines using Git, Maven, Jenkins, or SonarQube.

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