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Vice President - AI Infrastructure Support Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Apex Systems
Per diem position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, IT Infrastructure, Systems Engineer
Salary/Wage Range or Industry Benchmark: 135000 - 165000 USD Yearly USD 135000.00 165000.00 YEAR
Job Description & How to Apply Below
# Vice President - AI Infrastructure Support Engineer Apply
** 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.

Required Technical Environment 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…
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