Lead Software Engineer, Full Stack Java/ React/ Cloud/ AI

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Houston, TX
Posted
17 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $205k
$187k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$217,725.

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, Full Stack Java/ React/ Cloud/ AI

As a Lead Software Engineer - Full Stack Java/ React/ Cloud/ AI within the Corporate Technology - Wholesale Credit Risk group, you will join an agile team focused on delivering secure, stable, and scalable technology products. You will serve as a core technical contributor responsible for designing creative software solutions, developing high-quality production code, and troubleshooting complex problems across various business functions. Your daily work involves driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed while ensuring secure coding standards. You will lead evaluation sessions with vendors and internal teams regarding architectural designs and technical credentials. The role requires expertise in Java, React, GraphQL, APIs, and cloud native technologies. You must possess deep knowledge of the financial services industry, SDLC processes, CI/CD, application resiliency, and responsible AI integration within engineering workflows.

What you'll do

  • Design, develop, and troubleshoot creative software solutions for complex technical problems.
  • Write secure, high-quality production code while reviewing and debugging peer contributions.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed and quality.
  • Establish validation standards for AI outputs including security, performance, and automated testing.
  • Automate the remediation of recurring issues to improve the operational stability of software systems.
  • Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
  • Implement automation capabilities within the Software Development Life Cycle toolchain to increase value.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages.
  • 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 secure handling.
  • Proficiency in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies including CI/CD, application resiliency, and security.
  • In-depth knowledge of financial services industry IT systems and practical cloud native experience.

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