Principal Infrastructure Deployment Specialist

1 week ago

Chennai Pune Bengaluru Bangalore, India beBeeAutomation Full time US$ 90,000 - US$ 1,20,000

We are seeking a seasoned Infrastructure Automation Engineer to join our team. As a key member of our engineering organization, you will be responsible for designing and implementing infrastructure automation solutions that enable the rapid deployment of cloud-native applications.

Responsibilities:
  • Design and develop automated infrastructure provisioning scripts using Terraform, Ansible, and Helm.
  • Migrate workloads from VMware environments to cloud and hybrid infrastructures, ensuring minimal downtime and optimal performance.
  • Develop and implement VMware workload migration strategies, including vMotion, HCX, SRM (Site Recovery Manager), and lift-and-shift migrations.
  • Optimize and manage AI POD workloads on VMware and Kubernetes-based environments.
  • Integrate VMware workloads with Kubernetes for containerized AI/ML workflows.
  • Ensure workload high availability and disaster recovery post-migration using VMware SRM, vSAN, and backup strategies.
  • Monitor and troubleshoot migration performance issues using vRealize Operations, Prometheus, Grafana, and ELK.
Requirements:
  • 5-8 years of experience in infrastructure automation, VMware workload migration, and cloud integration.
  • Expertise in VMware vSphere, ESXi, vMotion, HCX, SRM, vSAN, NSX-T.
  • Hands-on experience with workload migration tools such as VMware HCX, CloudEndure, AWS Application Migration Service, Azure Migrate.
  • Proficiency in Infrastructure-as-Code (Terraform, Ansible, PowerCLI, vRealize Automation).
  • Strong experience with Kubernetes (EKS, AKS, GKE) and containerized AI/ML workloads.
  • Experience in public cloud migration (AWS, Azure, GCP) for VMware-based workloads.
  • Hands-on knowledge of CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD, Tekton).
  • Strong scripting and automation skills in Python, Bash, or PowerShell.
  • Familiarity with disaster recovery, backup, and business continuity planning in VMware environments.
  • Performance tuning and troubleshooting experience for VMware-based workloads.
Preferred Qualifications:
  • Experience with NVIDIA GPU orchestration (KubeFlow, Triton, RAPIDS, etc.).
  • Familiarity with Packer for automated VM image creation.
  • Familiarity with Edge AI deployments, federated learning, and AI inferencing at scale.

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