Must have

• 5+ years of experience in infrastructure automation or SRE roles with hands-on IaC deployment.
• Proficiency in Terraform, Ansible, and scripting languages such as Python, Bash, and YAML.
• Experience automating infrastructure in GPU-intensive environments supporting AI/ML workloads.
• Strong understanding of networking (VXLAN, EVPN, BGP, RoCE) and virtualization platforms (OpenShift, VMware, KVM).
• Familiarity with Kubernetes, Helm, Operators, and container orchestration frameworks.
• Exposure to storage automation for AI data lakes (e.g., Ceph, BeeGFS, Lustre, or S3-compatible storage).
• Experience with CI/CD tools (GitLab CI/CD, Jenkins, ArgoCD, Flux) in IaC pipelines

• Design and implement IaC frameworks to automate the provisioning and configuration of data center infrastructure for AI workloads.
• Orchestrate and manage multi-layer automation across compute (GPU/CPU), networking (VXLAN, EVPN, BGP), storage (NVMe, object, parallel file systems), and virtualization platforms (KVM, VMware, OpenShift).
• Develop reusable Terraform modules, Ansible playbooks, and YAML templates to define infrastructure in version-controlled environments.
• Automate deployment of Kubernetes clusters and integrate with GPU operators for training and inference pipelines.
• Build and maintain CI/CD pipelines to deploy, test, and manage infrastructure changes using tools like GitLab CI/CD, Jenkins, or ArgoCD.
• Integrate with monitoring and observability stacks (Prometheus, Grafana, DCGM) for automated infrastructure validation and health monitoring.
• Work closely with AI/ML platform teams to align infrastructure deployment with model training, data pipelines, and security policies.
• Ensure compliance with security and operational standards through policy-as-code and drift detection mechanisms.

• Certified Kubernetes Administrator (CKA) –Must
• Certified Kubernetes Application Developer (CKAD) 
• NVIDIA Certified Kubernetes Specialist

Educational Qualifications

• Batchlors in Computer Science/Applications/BTech Computer Science/MCA

• Terraform Scripting & Module Development
• Ansible Automation for OS, Network, and Storage Provisioning
• Infrastructure Automation for GPU-Centric AI Workloads
• IaC for Virtualization Platforms – OpenShift, KVM, VMware
• Kubernetes Deployment Automation & GPU Operator Integration
• Scripting Languages – Python, Bash, and YAML
• CI/CD for Infrastructure – GitLab CI/CD, Jenkins, ArgoCD
• Network Configuration Automation – VXLAN, EVPN, BGP, RoC
• Storage Provisioning for AI – Ceph, Lustre, BeeGFS, or S3-compatible
• Monitoring Stack Integration – Prometheus, Grafana, DCGM

• Policy-as-Code & Security Automation (OPA/Gatekeeper, Sentinel)
• Drift Detection & Compliance Enforcement in IaC Environments
• Helm Charts & Kubernetes Operators Automation
• Version Control Practices with Git for Infra Code
• Integration with AI/ML Pipelines and Data Ingestion Frameworks
• Hybrid/Multicloud Orchestration Knowledge (AWS, Azure, GCP)
• OpenShift GitOps or Flux for Continuous Delivery of Infra
• Template Reusability and Modular Code Design in IaC
• GPU Resource Pooling and Node Provisioning with Ansible + Terraform
• Observability Automation (DCGM Exporter, Node Exporter, Custom Metrics)