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

DC Tech Consulting Verified employer

Actively hiring · Posted 16d ago · JEV2610A0F0932B0E

SalarySalary not disclosed
Experience5 yrs
LocationBengaluru, Karnataka
Work modeHybrid · Full time
Openings1
ShiftExperience with CI/CD pipelines (GitHub Actions, Jenkins, etc.)
IndustryMachine Learning, Data Center Infrastructure, Artificial Intelligence, and Cloud Infrastructure

Job description

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

How to apply

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