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Senior Data Center Engineer - Infrastructure, Virtualization, and Automation

MatchPoint United State
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

MatchPoint is seeking a Senior Data Center Engineer with expertise in infrastructure engineering, virtualization, and automation. The ideal candidate will have hands-on experience with Cisco HX/UCS, VMware vSphere, and Nutanix HCI. Strong networking fundamentals and scripting ability are required.

Key Highlights
7+ years of experience in infrastructure engineering or data center operations
Relocation required prior to full-time conversion
Contract to Hire | On-site or Hybrid employment type
Technical Skills Required
Cisco HX/UCS VMware vSphere Nutanix HCI Cohesity Linux (Ubuntu, RHEL) Windows Server Terraform Ansible Puppet Bash PowerShell Python
Benefits & Perks
$70-85/hr rate
Relocation assistance
Contract to Hire opportunity

Job Description


Data Center Engineer – Infrastructure, Virtualization & Automation

Location: Phoenix, AZ / Walnut Creek, CA (Relocation required prior to full-time conversion; other locations may be considered during contract phase)

Employment Type: Contract to Hire | On-site or Hybrid

Rate: $ 70-85/hr



Required:

7+ years of experience in infrastructure engineering or data center operations.

Expertise with Cisco HX/UCS, VMware vSphere, Nutanix HCI, and Cohesity.

Proficiency with Linux (Ubuntu, RHEL) and Windows Server platforms.

Hands-on experience with automation tools like Terraform, Ansible, Puppet.

Strong networking fundamentals (TCP/IP, VLANs, DNS, DHCP, firewalls).

Scripting ability in Bash, PowerShell, or Python.

Proven ability to lead, communicate across teams, and deliver technical results.

Willingness to relocate to one of the designated offices prior to full-time hire.

Preferred:

Bachelor’s degree in IT, Computer Science, or related field.

Certifications: VCP, RHCE, Nutanix NCP, CCNP, Azure/AWS Associate.

Familiarity with ITIL, change management, and monitoring tools (SolarWinds, Prometheus).

Exposure to containerization (Docker, Kubernetes) and cloud technologies (AWS, Azure).


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