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AI Infrastructure Engineer - Nutanix Kubernetes Platform

SDNA Global
5 - 10 Years
Bangalore

Posted on: 23/09/2026

Job Description

AI Infrastructure Engineer

Location : Bangalore

Experience : 5 - 10 Years

Education : 12 Years of Full-Time Education

Job Summary :

We are looking for an experienced AI Infrastructure Engineer to design, build, and optimize high-performance AI infrastructure using the Nutanix platform, Kubernetes, and GPU-accelerated environments.

The role will focus on building scalable AI infrastructure for LLM and Generative AI workloads, integrating compute, storage, networking, Kubernetes, and GPU technologies across on-premises and hybrid-cloud environments.

Key Responsibilities :

- Design and implement AI infrastructure solutions using Nutanix NCI, AOS and AHV.

- Deploy and manage AI workloads using Nutanix Kubernetes Platform (NKP).

- Optimize infrastructure for AI/ML, LLM and Generative AI workloads.

- Work with NVIDIA and AMD GPU ecosystems, including GPU Passthrough and vGPU.

- Architect high-performance storage using Nutanix Objects and Files.

- Implement hybrid-cloud solutions using NC2.

- Automate infrastructure provisioning using Terraform and/or Nutanix Calm.

- Implement monitoring, logging and observability using Prometheus, Grafana, ELK and OpenTelemetry.

- Configure Nutanix Flow for network security and micro-segmentation.

- Design highly available, fault-tolerant and disaster recovery solutions.

- Support infrastructure modernization and migration toward a unified Nutanix platform.

- Collaborate with cross-functional teams and provide technical leadership on Nutanix AI infrastructure.

Must-Have Skills :

- Strong hands-on experience with Nutanix NCI, AOS and AHV.

- Hands-on experience with Nutanix Kubernetes Platform (NKP).

- Knowledge of Nutanix AI (NAI) and AI infrastructure.

- Experience with NVIDIA and/or AMD GPU technologies.

- Experience with Kubernetes and containerized workloads.

- Strong understanding of virtualization, compute, storage and networking.

- Experience with GPU Passthrough and/or vGPU configurations.

Good to Have :

- Experience with NC2 / hybrid-cloud architecture.

- Nutanix Objects / Files.

- Nutanix Flow and micro-segmentation.

- Terraform / Nutanix Calm.

- Prometheus, Grafana, ELK and OpenTelemetry.

- Experience supporting LLM, GenAI or AI/ML workloads.

- Knowledge of Zero Trust, HA, DR and enterprise infrastructure security.

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