Senior AI & NKP Infrastructure Consultant (Remote)

Nutanix

Montpelier (VT)

Remote

USD 120,000 - 170,000

Full time

9 days ago
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Job summary

Nutanix is seeking a skilled Professional Services specialist to design and implement AI and NKP infrastructure on Nutanix HCI. You will tailor scalable solutions for customers while advising on best practices for Kubernetes and workload management.

The role emphasizes autonomy, trust, and continuous technical mentorship, with remote work predominating and occasional travel to client locations. You will collaborate with a responsive team to ensure successful deployments and customer success.

Qualifications

  • Bachelor’s degree in computer science, information technology, or related field.
  • 2+ years of experience implementing infrastructure for data‑intensive workloads.
  • Strong Kubernetes expertise and GPU acceleration technologies.
  • Excellent communication, problem‑solving, analytical and troubleshooting abilities.
  • Proven ability to work independently in a dynamic, customer‑facing environment.
  • Active Top Secret Clearance is a strong plus.
  • Experience with Hyperconverged Infrastructure (HCI) platforms is a strong plus.

Responsibilities

  • Implement scalable AI and NKP infrastructure solutions on Nutanix HCI platforms, tailored to customer requirements.
  • Advise clients on best practices for configuring Kubernetes for efficient management of workloads.
  • Develop and maintain documentation for solution configurations, deployment guides, and knowledge sharing resources.
  • Engage with clients to troubleshoot issues and provide ongoing support for their AI and NKP infrastructures.

Skills

Kubernetes
GPU acceleration
Communi‑cation
Problem solving
Independent work
Client facing

Education

Bachelor's degree in CS/IT

Tools

Nutanix HCI

Job description

Nutanix is seeking a skilled Professional Services specialist to design and implement AI and NKP infrastructure on Nutanix HCI. You will tailor scalable solutions for customers while advising on best practices for Kubernetes and workload management.

The role emphasizes autonomy, trust, and continuous technical mentorship, with remote work predominating and occasional travel to client locations. You will collaborate with a responsive team to ensure successful deployments and customer success.

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