AI Infrastructure Engineer-Bangalore-5+ Years

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.