Healthcare Systems Engineer - Cloud, Kubernetes & HA

MACHINE LEARNING TECHNOLOGIES LLC; Trenton (NJ); On-site; USD 110,000 - 150,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Systems Engineer in Trenton, NJ, for a 24-month engagement. The role requires extensive experience in Windows Server and Linux server administration in enterprise settings, plus Kubernetes and cloud platform administration.

The candidate will implement high availability, manage privileged access, and leverage automation tools to provision and operate servers across on-premises and cloud environments.

Qualifications

• 7 years of experience administering Windows Server in enterprise environments.
• 7 years of experience administering Linux server operating systems (Red Hat, RHEL, SUSE, Ubuntu) in enterprise settings.
• 7 years experience with Kubernetes or other container orchestration platforms.
• 7 years experience with server OS in public or private cloud (Azure, AWS, GCP).
• 7 years implementing high availability configurations (clustering, failover, replication, backup/restore).
• 7 years configuring privileged and administrative access.
• 7 years using automation/configuration management tools (Ansible, Puppet, Chef, Terraform, PowerShell, Bash).
• 7 years applying security baselines and remediating vulnerabilities.
• 7 years using enterprise monitoring/alerting tools.
• 7 years administering virtualization platforms (VMware vSphere/ESXi, Hyper-V, Proxmox, Nutanix AHV, OpenShift Virtualization).

Skills

Windows Server

Linux Administration

Kubernetes

Cloud Platforms

High Availability

Access Management

Automation Tools

Security Baselines

Monitoring & Alerting

Virtualization

Tools

Ansible

Puppet

Chef

Terraform

PowerShell

Bash

VMware vSphere/ESXi

Microsoft Hyper-V

Proxmox VE

Nutanix AHV

OpenShift Virtualization

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Systems Engineer in Trenton, NJ, for a 24-month engagement. The role requires extensive experience in Windows Server and Linux server administration in enterprise settings, plus Kubernetes and cloud platform administration.

The candidate will implement high availability, manage privileged access, and leverage automation tools to provision and operate servers across on-premises and cloud environments.