Key Responsibilities

- Design and implement high-performance AI infrastructure for LLM and Generative AI workloads
- Architect hybrid/multicloud AI environments across on-premises and public cloud
- Deploy and manage AI workloads using Nutanix Kubernetes Platform (NKP)
- Design high-performance AI storage using Nutanix Objects / Files
- Implement GPU-enabled infrastructure and optimize AI training/inference performance
- Configure and manage GPU Passthrough and vGPU environments
- Automate infrastructure lifecycle using Nutanix Calm / Terraform
- Implement monitoring, logging and alerting using Prometheus, Grafana, ELK and OpenTelemetry
- Ensure High Availability, Disaster Recovery and Fault Tolerance
- Implement enterprise networking and security, including Nutanix Flow and Zero-Trust architecture
- Optimize infrastructure performance, power consumption and hybrid-cloud scalability




- Act as the SME for Nutanix AI integrations and contribute to long-term AI infrastructure strategy

Mandatory Technical Skills ✅ Nutanix Cloud Infrastructure (NCI), AOS & AHV

✅ Nutanix Kubernetes Platform (NKP) / Nutanix AI (NAI)

✅ Solid knowledge of NVIDIA & AMD GPU ecosystems

✅ GPU Passthrough & vGPU

✅ Kubernetes & AI/ML workload deployment

✅ Nutanix Objects / Files & enterprise storage

✅ Nutanix Flow & micro-segmentation

✅ Terraform / Nutanix Calm

✅ Prometheus, Grafana, ELK & OpenTelemetry

✅ Hybrid Cloud / Multicloud Architecture

Pay: ₹1,000,000.00 - ₹4,000,000.00 per year

Benefits

- Provident Fund

Work Location: In person

📌 AI Infrastructure Engineer (Bengaluru)
🏢 TalentNest Solutions
📍 Bengaluru