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DC Tech delivers agile and cost-effective IT solutions, from cloud strategy to infrastructure deploy

Data Center Engineer (Kubernetes / VMware / Networking / Automation)

  • Remote (
    Everywhere
    ) • 
  • |5 years of exp
  • |Full Time
Posted: 3 months ago
Job Location
Remote Work Policy

Onsite or remote

Hires remotely in
Everywhere
Visa Sponsorship

Not Available

Preferred Timezones
Indochina Time
RelocationAllowed
Skills
Linux
TCP/IP
Load Balancing
VMware Esxi
Vmware Vcenter
VMware vSphere
Kubernetes
Vlans
Terraform
Infrastructure As Code (IaC)
Hiring contact
Rashmi BM
Employee
image

About the job

Location: India (Remote / Hybrid)
Experience: 5–10 years

Role Overview
We are looking for highly skilled Data Center Engineers to design, deploy, and operate modern infrastructure environments. This role requires deep expertise in Kubernetes, automation, virtualization, and networking, with a strong focus on building scalable, repeatable, and production-grade platforms

Key Responsibilities
Design, deploy, and manage Kubernetes-based platforms in production
Implement and manage automation frameworks for infrastructure provisioning and operations
Administer and optimize VMware environments (vSphere, ESXi, vCenter)
Support infrastructure across compute, storage, and networking layers
Build and maintain Infrastructure as Code (IaC) using automation tools
Troubleshoot performance, scalability, and availability issues
Automate deployment workflows and operational tasks
Collaborate with architecture and delivery teams on solution design

Required Skills
Strong hands-on experience with Kubernetes (mandatory)
Strong experience with automation tools:
Ansible (configuration management, orchestration)
Terraform (infrastructure provisioning / IaC)
Experience with VMware (vSphere, ESXi, vCenter)
Solid understanding of data center networking:
TCP/IP, VLANs, routing, switching
Load balancing, firewalls
Strong Linux systems administration skills
Experience troubleshooting across infra + platform layers

Preferred / Nice to Have
Experience with Red Hat OpenShift
Experience with CI/CD pipelines (GitHub Actions, Jenkins, etc.)
Familiarity with observability tools (Prometheus, Grafana)
Exposure to GPU / AI infrastructure environments
Knowledge of security and compliance best practices

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