Lead Software Engineer, AI/Supply Chain Full Stack

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Houston, TX
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $195k
$146k $240k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $168,465–$222,500.

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 1260 open roles on FindRole.

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At a glance

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

As a Lead Software Engineer - AI/Supply Chain Full Stack, you will join the Corporate Sector Infrastructure Platforms Shared Infrastructure Solutions Supply Chain team. You will serve as a core technical contributor responsible for designing, developing, and troubleshooting secure, high-quality production code within an agile environment. Your daily work involves executing creative software solutions, leading the adoption of enterprise-authorized AI-assisted engineering practices, and automating the remediation of recurring issues to improve operational stability. You will utilize Java, Python, or .NET while managing the full Software Development Life Cycle, including CI/CD, application resiliency, and security. The role requires navigating complex financial services IT systems and cloud-native environments to solve technical problems, evaluate external vendor architectures, and ensure responsible AI use regarding data sensitivity and secure handling of inputs.

What you'll do

  • Design, develop, and troubleshoot creative software solutions to solve complex technical problems.
  • Write, review, and debug secure, high-quality production code.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed and code quality.
  • Establish consistent validation standards for secure coding, peer reviews, and automated testing.
  • Apply SDLC toolchain knowledge to improve automation value and operational outcomes.
  • Identify and automate the remediation of recurring issues to improve system stability.
  • Lead evaluation sessions with external vendors and internal teams to assess architectural designs and technical credentials.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience delivering 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 of inputs/outputs.
  • Proficiency in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Practical cloud native experience.
  • Familiarity with modern front-end technologies (preferred).
  • Exposure to cloud technologies (preferred).

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