Lead, Infrastructure Developer - Ai Platforms

Prudential

Newark, NJ, United States
$133,600.00 to $220,400.00; yearly bonus potential...
Hybrid
Infrastructure as code
Cloud-native infrastructure automation
Python and/or nodejs programming
Partner with product owners, tech leads, and engineers to improve AI Platforms, including enterprise AI and intelligent platforms

Job Summary

  • Partner with product owners, tech leads, and engineers to improve AI Platforms, including enterprise AI and intelligent platforms.
  • Design, build, and operate cloud-native infrastructure and automation that powers AI runtimes, model services, data pipelines, and agent orchestration.
  • Uphold strong standards for security, reliability, scalability, and compliance while enabling teams to deliver AI-driven solutions at enterprise scale.

Matching Summary

Partner with product owners, tech leads, and engineers to improve AI Platforms, including enterprise AI and intelligent platforms.

Salary

$133,600.00 to $220,400.00; Yearly bonus potential; Medical, dental, vision, life insurance, disability insurance, PTO, 401(k) plan with company match, Company-funded pension plan, Wellness Programs, Work/Life Resources, Education Benefit, Employee Stock Purchase Plan

Skills & Requirements

Must-have

  • Infrastructure as Code
  • Cloud-native infrastructure automation
  • Python and/or nodeJS programming
  • AWS, Azure, or GCP expertise
  • Docker and Kubernetes proficiency
  • CI/CD pipelines and automation frameworks
  • Linux/Unix operating systems

Nice-to-have

  • Emerging technologies influence
  • Agile development methodologies
  • Test-Driven Development (TDD)
  • Problem-solving and collaboration skills

Key Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • Significant experience in infrastructure, platform, or cloud engineering
  • Applied programming experience using Python and/or nodeJS, Shell/Power scripting
  • Advanced hands-on expertise with AWS, Azure, or GCP
  • Strong experience with containerization and orchestration technologies
  • Proficiency with Infrastructure as Code tools
  • Experience building and supporting CI/CD pipelines
  • Solid understanding of distributed systems, networking, security, resiliency, and performance engineering
  • Exposure to AI/ML infrastructure is strongly preferred

Work Rights

Not specified

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