29 Aug
|
SDNA Global
|
Bengaluru
29 Aug
SDNA Global
Bengaluru
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.
Positive 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.
📌 AI Infrastructure Engineer-Bangalore-5+ Years (Bengaluru)
🏢 SDNA Global
📍 Bengaluru