Senior SDE-Infrastructure Automation

Key Roles & Responsibilities:

• Automate infrastructure deployment using Terraform, Ansible, and Helm for VMware and cloud environments.
• Develop and implement VMware workload migration strategies, including vMotion, HCX, SRM (Site Recovery Manager), and lift-and-shift migrations.
• Migrate VMware-based workloads to public cloud (AWS, Azure, GCP) or hybrid cloud environments.
• Optimize and manage AI POD workloads on VMware and Kubernetes-based environments.
• Leverage VMware HCX for live and bulk workload migrations, ensuring minimal downtime and optimal performance.
• Automate virtual machine provisioning and lifecycle management using VMware vSphere APIs, PowerCLI, or vRealize Automation.
• 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.
• Develop and optimize CI/CD pipelines to automate workload migration, deployment, and validation.
• Ensure security and compliance for workloads before, during, and after migration.
• Work closely with cloud architects to design hybrid cloud solutions supporting AI/ML workloads.

Basic Qualifications:

• 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.
• Contributions to open-source infrastructure automation projects.