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AI Infrastructure Engineer - San Jose, California (Hybrid) - Lorven Technologies Inc.

Job

Lorven Technologies, Inc.

Remote

Full-Time

Posted 3 days ago (Updated 18 hours ago) • Actively hiring

Expires 7/24/2026

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Job Description

Position:
AI Infrastructure Engineer Location:
San Jose, California (Hybrid)
Duration:
Contract Description:
Bachelor's or Master's degree in Computer science or equivalent, with minimum 12+ Years of experience in IT.
Must-Have :
Nutanix Cloud Infrastructure (NCI) & AOS/AHV NKP/NAI (specifically NKP - Nutanix Kubernetes Platform)
Knowledge of NVIDIA and AMD Ecosystem 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.
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.