Description

You will provide Tier 1 and Tier 2 support for AI-driven applications and high-performance workloads.

Responsibilities

• Troubleshoot and resolve issues related to Kubernetes deployments, GPU utilization, and service performance.
• Deploy and manage containerized AI workloads on Google Anthos-powered Kubernetes clusters.
• Automate services and integrations using Helm, Ansible, and Terraform.
• Optimize GPU-enabled workloads, including CUDA and other AI acceleration frameworks.
• Maintain operational documentation, runbooks, and troubleshooting guides using New Relic, Prometheus, and Grafana.

Required Skills

• 5+ years of experience in technical support and platform operations.
• Hands-on experience deploying and managing containerized workloads in Kubernetes.
• Experience deploying, supporting, and optimizing NVIDIA and AMD GPU-enabled infrastructure in VMs and containers.
• In-depth knowledge of hybrid cloud architectures, including GCP and AWS.
• Experience with DevOps practices and tools such as Git and Jenkins.
• Proficiency with Python, PyTorch, TensorFlow, and Jupyter Notebooks.
• Ability to manage tasks and workflows through ServiceNow and Jira.
• Experience with Helm, Terraform, and AI/ML workflows.
• Direct experience supporting AI coding assistants like Codeium.

Preferred Skills

• Experience with GPU orchestration tools such as Run:AI, NVIDIA AI Enterprise, or VMware Private AI Foundation.
• Exposure to Copilot or Tabnine.

Key Skills

Education

Any Gradute