Lead Software Engineer, AI/Supply Chain Full Stack

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Houston, TX
Posted: 5 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$177k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$211,200.

Based on 240 similar postings.

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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 1151 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer, AI/Supply Chain Full Stack

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As a Lead Software Engineer - AI/Supply Chain Full Stack within the Corporate Sector - Infrastructure Platforms - Shared Infrastructure Solutions/ Supply Chain team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting complex software solutions while ensuring production code is secure and high-quality. Your daily work involves driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational stability. You will evaluate architectural designs with external vendors and internal teams while managing the full Software Development Life Cycle. Key technical requirements include proficiency in Java, Python, or .NET, experience with cloud native technologies, and advanced knowledge of CI/CD and application resiliency. You must navigate the complexities of financial services IT systems while ensuring responsible AI usage and secure data handling.

Skills

Java Python .NET AI-assisted engineering CI/CD Agile Cloud Native System Design Automated Testing Security Application Resiliency

What you'll do

Design, develop, and troubleshoot creative software solutions for complex technical problems.
Write high-quality production code while reviewing and debugging code written by other team members.
Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
Establish consistent validation standards for secure coding, peer reviews, and automated testing.
Utilize SDLC toolchains and automation capabilities to increase the value of software delivery.
Identify and automate the remediation of recurring issues to improve system operational stability.
Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.

What we're looking for

Formal training or certification in 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 such as Java, Python, or .NET.
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, CI/CD, application resiliency, and security.
In-depth knowledge of financial services industry IT systems and practical cloud native experience.

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