Lead AI-Driven Full-Stack Engineer, Supply Chain

Next Frontier Capital

Houston (TX)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

JPMorgan Chase, in the Corporate Sector's Infrastructure Platforms team, seeks a Lead Software Engineer who will be a core technical contributor on an agile team delivering trusted, secure, scalable technology products. You will design, develop, review code, and drive AI-assisted engineering practices to improve quality, delivery speed, and operational stability across the software lifecycle.

The role requires 5+ years in software engineering and hands-on experience with Java, Python, .NET,

Qualifications

  • Formal training or certification in software engineering with 5+ years of experience.
  • Hands-on experience delivering system design, development, testing, and operational stability.
  • Proficiency in Java, Python, .NET, or similar languages.
  • Experience leading use of AI-assisted development tools with focus on correctness and security.
  • Strong knowledge of SDLC and Agile (CI/CD, resiliency, security).

Responsibilities

  • Executes creative software solutions and designs, solving problems beyond routine approaches.
  • Develops secure, high-quality production code and reviews peers' code.
  • Drives adoption of AI-assisted engineering practices to improve quality, speed, and operations.
  • Applies SDLC toolchain knowledge to enhance automation value.
  • Identifies opportunities to automate remediation for stability.
  • Leads evaluation sessions with vendors and teams to assess architecture and fit.

Skills

Software engineering concepts
System design
Application development
Testing
Java
Python
.NET
AI-assisted development tools
Responsible AI
SDLC
CI/CD
Cloud native
Financial services IT
Agile methodologies

Job description

JPMorgan Chase, in the Corporate Sector's Infrastructure Platforms team, seeks a Lead Software Engineer who will be a core technical contributor on an agile team delivering trusted, secure, scalable technology products. You will design, develop, review code, and drive AI-assisted engineering practices to improve quality, delivery speed, and operational stability across the software lifecycle.

The role requires 5+ years in software engineering and hands-on experience with Java, Python, .NET,

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