Vice President - AI Infrastructure Support Engineer

Job#: 3056186

Job Description:

We’re seeking a future team member for the role of Vice President, AI Infrastructure Support Engineer to join our AI Infrastructure Support team. This is a hand on role for any professional looking to take ownership and lead. In this role, you’ll make an impact in the following ways:

• Deliver operational support and drive issue resolution for AI infrastructure, GPU platforms, and associated production services.
• Support the deployment, orchestration, and monitoring of AI/ML workloads across distributed environments using Kubernetes and Docker.
• Apply hands‑on expertise with NVIDIA GPU infrastructure, including A100, H100, and B200 nodes, to support provisioning, utilization, performance tuning, and ongoing platform operations.
• Build, maintain, and optimize automation scripts and tooling using Ansible, Python and Shell scripting to improve efficiency and reliability.
• Manage incidents, service requests, and change activity through enterprise workflow and ticketing platforms such as JIRA and Service Now.
• Partner with cross‑functional teams across engineering, platform, and operations to implement Dev Ops best practices, including CI/CD using Git Lab, containerized deployment models, and secure access management through Azure AD.
• Create and maintain clear technical documentation, including runbooks, standard operating procedures, support guides, and infrastructure architecture artifacts.
• Diagnose and resolve networking, storage, and system performance issues affecting AI infrastructure and high‑performance compute workloads.
• Participate in a rotating on‑call support model, including occasional weekend coverage, to help maintain high availability and operational excellence.

To be successful in this role, we’re seeking the following:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
• Strong experience supporting AI infrastructure, GPU platforms, or high‑performance compute environments in enterprise or production settings.
• Hands‑on experience working with NVIDIA GPU nodes, including A100, H100, and B200 systems.
• Solid understanding of Kubernetes and Docker for deploying, managing, and troubleshooting distributed workloads.
• Proficiency in Ansible, Python and Shell scripting for automation, tooling, and operational support tasks.
• Experience with Dev Ops practices and tools, including Git Lab CI/CD, infrastructure automation, and container‑based delivery models.
• Familiarity with enterprise ticketing and service management platforms such as JIRA and Service Now.
• Good knowledge of networking, storage, Linux systems administration, and infrastructure troubleshooting in complex technical environments.
• Understanding of identity and access management, including secure access controls such as Azure AD.
• Strong problem‑solving skills, attention to detail, and the ability to manage multiple priorities in a fast‑paced environment.
• Effective written and verbal communication skills, with the ability to document processes and collaborate across technical and non‑technical teams.
• Willingness to participate in on‑call rotations and provide occasional weekend support as needed.

• Category Technologies
  • AI Infrastructure
  • AI/ML Platforms, High‑Performance Computing (HPC)
  • GPU Technologies – NVIDIA A100, H100, B200
  • Containers & Orchestration – Kubernetes, Docker
  • Automation & Scripting – Ansible, Python, Shell Scripting
  • Dev Ops – Git Lab CI/CD, Infrastructure Automation
  • Service Management – JIRA, Service Now
  • Operating Systems – Linux
  • Networking & Storage
  • Infrastructure Troubleshooting, Performance Optimization
  • Identity & Access Management – Azure AD
  • Infrastructure Operations, Monitoring, Incident Management,…