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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.
84 months of experience administering Windows Server operating systems in an enterprise
84 months of experience administering Linux server operating systems, such as Red Hat, Enterprise Linux, SUSE, or Ubuntu, in an enterprise environment, including installation, configuration, patching, and version upgrades.
60 months of experience administering Kubernetes or an equivalent container orchestration platform, including cluster provisioning, component upgrades, and troubleshooting.
72 months of experience administering server operating systems hosted in a public or private cloud environment, such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
72 months of experience implementing and maintaining high availability configurations for server operating systems, including clustering, failover, replication, or backup and restore.
72 months of experience configuring and administering privileged and administrative access
60 months of experience using infrastructure automation or configuration management tooling, such as Ansible, Puppet, Chef, Terraform, PowerShell, or Bash, to provision or administer servers.
60 months of experience applying security baselines and remediating vulnerability scan
60 months of experience using enterprise monitoring and alerting tools to track server
72 months of experience administering enterprise virtualization or hypervisor platforms, such as VMware vSphere and ESXi, Microsoft Hyper-V, Proxmox VE, Nutanix AHV, or Red Hat OpenShift Virtualization, including host configuration, virtual machine provisioning, storage and network assignment, and resource management.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.