AI Infrastructure Engineer San Jose, CA

AI Infrastructure Engineer San Jose, CA ESRhealthcare and EXEC STAFF RECRUITERS | Career Page

AI Infrastructure Engineer San Jose, CA

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Job Description

AI Infrastructure Engineer San Jose, CA

Duration

6+ months

Must have skills

AI, Kubernetes, Orchestration and DevOps ( All the four skills are mandatory)

Role Description

Architect and build custom Artificial Intelligence (AI) infrastructure solutions

leveraging the Nutanix Kubernetes Platform and Nutanix AI. You will be responsible for

designing high-performance computational stacks that integrate Nutanix AI, high-speed

software-defined storage, and GPU-accelerated nodes. Your mission is to make AI infrastructure

& ;invisible &; by optimizing for performance, power consumption, and seamless hybrid-multicloud

scalability across on-prem.

Minimum Experience

10 years Educational Qualification

12 years full-time education

Summary

As an AI Infrastructure Engineer, you will design tailored AI solutions that bridge the gap

between private data centers and public cloud. Your day-to-day will involve optimizing the

Nutanix computational stack for large language models (LLMs) and generative AI workloads.

You will serve as the SME for Nutanix AI, ensuring that compute, storage (Nutanix

Objects/Files), and networking (Flow) are perfectly tuned for AI model training and inference.

Nutanix-Specific Responsibilities

Hybrid Multicloud Architecture

Design seamless AI workflows using NC2 on Prem,

allowing for rapid bursting of AI workloads from on-prem AHV clusters to the public

cloud.

Data Services for AI

Architect high-performance storage backends using Nutanix

Objects (S3-compatible) to handle the massive datasets required for AI/ML.

Kubernetes & Orchestration

Deploy and manage AI workloads using Nutanix

Kubernetes Platform (NKP) to ensure containerized AI models are scalable and

resilient.

Infrastructure-as-Code

Implement IaC using Nutanix Calm or Terraform to automate

the lifecycle of GPU-enabled nodes.

Observability

Design frameworks (monitoring, logging, alerting) for proactive issue

detection. Hands on experience on Prometheus, Grafana, ELK, and OpenTelemetry.

Ensure high availability, disaster recovery, and fault tolerance across all systems.

Networking & Security

Familiarity with Zero-Trust architectures, enterprise

networking, storage, and virtualization.

Invisible Infrastructure

Modernize legacy 3-tier AI silos into a unified, web-scale

Nutanix environment.

Public

Professional & Technical Skills

Nutanix Core

Deep proficiency in AOS (Acropolis Operating System) and AHV

(Native Hypervisor).

AI Performance

Experience with GPU Passthrough and vGPU configurations on

Nutanix to optimize AI training performance.

Security

Applying Nutanix Flow for micro segmentation to secure sensitive AI training

data.

Cost Management

Using Nutanix Cloud Manager (NCM) Cost Governance to

monitor and optimize spend across hybrid environments.

The "Hungry, Humble, Honest &; Expectations

SME Leadership

Act as the primary technical authority for Nutanix AI integrations

within the San Jose office.

Collaboration

Work across teams to dismantle data silos, moving the organization

toward a "One Platform" philosophy.

Strategic Vision

Stay ahead of Nutanix product roadmaps to inform long-term AI

infrastructure strategy.

Working Place

San Jose, California, United States

Company

ESR Healthcare

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