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Senior Systems Engineer (Cloud, Linux, Kubernetes)

machine learning technologies llc • United State
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AI Summary

Design, deploy, and maintain enterprise-grade cloud and on-premise infrastructure with deep expertise in Windows/Linux servers, Kubernetes, and virtualization. Focus on high availability, security, and automation to support healthcare clients. Requires 8+ years of hands-on experience in enterprise environments.

Key Highlights
8+ years administering Windows/Linux servers in enterprise environments
8+ years managing Kubernetes and cloud infrastructure (AWS, Azure, GCP)
6+ years in virtualization (VMware, Hyper-V, Nutanix) and high-availability configurations

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Key Responsibilities
Administer Windows Server and Linux (Red Hat, Ubuntu, SUSE) in enterprise environments, including installation, configuration, patching, and upgrades
Provision, manage, and troubleshoot Kubernetes clusters and container orchestration platforms
Design and implement high-availability configurations (clustering, failover, replication, backups) for server environments
Configure and administer privileged access controls and security baselines for enterprise systems
Automate server provisioning and administration using tools like Ansible, Terraform, or PowerShell
Monitor and alert on server performance using enterprise monitoring tools
Administer virtualization platforms (VMware, Hyper-V, Nutanix, OpenShift) and manage virtual machines
Technical Skills Required
Linux Server Administration Kubernetes Cloud Infrastructure (AWS/Azure/GCP)

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Benefits & Perks
Visa sponsorship (H-1B, OPT-EAD, etc.)
W-2, 1099, or C2C employment options

Job Description

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Job Overview
  • Job ID:

J53465
  • Job Title:

Systems Engineer
  • Location:

Trenton, NJ
  • Duration:

24 Months + Extension
  • Domain Exposure:

Healthcare
  • Work Authorization:

US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
  • Client:

To Be Discussed Later
  • Employment Type:

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Job Overview
Posted Oct 31, 2026
Employment Full-time
Experience Not Applicable
Location United State
Category Devops
Company machine learning technologies llc
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