System Engineer
Position: System Engineer
| AR State Title: | COSMOS – System Engineer |
| Requisition Number: | R0074279 Apply Now |
| Department: | COSMOS Research Center |
| Salary Range: | $65,000.00 annually |
| FLSA Status: | Exempt |
Position Summary:
The System Engineer is a full-time position at the COSMOS Research Center at the University of Arkansas at Little Rock. The System Engineer focuses on the deployment, configuration, monitoring, and maintenance of GPU-enabled servers, virtualized environments, and hybrid infrastructure supporting research and enterprise systems. It is a non-coding role requiring strong Linux/Windows administration skills, virtualization experience, automation knowledge, and familiarity with data center operations. The System Engineer will collaborate with researchers, data engineers, developers, and partners to maintain high-performing, secure, and scalable infrastructure that powers computational workloads. This on-campus position is governed by state and federal laws and agency/institution policy.
The position reports to:
Prof. Nitin Agarwal (nxagarwal@ualr.edu),
Maulden-Entergy Chair and Donaghey Distinguished Professor,
Director, COSMOS Research Center, UA-Little Rock.
Required Education and/or Experience:
- Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
- Strong Linux and Windows server administration skills.
Preferred Education and/or Experience:
- Master’s or Ph.D. in Computer Science, Information Technology, or a related discipline;
- 1+ year(s) of hands-on experience in server management, system administration, or infrastructure support;
- Basic knowledge of Linux system administration;
- Certifications such as RHCSA/RHCE, MCSE, CompTIA Network+/Security+;
- Experience with GPU environments (NVIDIA preferred), CUDA drivers, and related tools;
- Experience in research labs, AV systems, and hybrid on-prem/cloud setups.
Job Duties and Responsibilities:
- Configure, maintain, and troubleshoot GPU servers, workstations, and physical hardware;
- Deploy and manage virtual machines using VMware, KVM, Proxmox, etc.;
- Establish and maintain on-premises cloud architecture (e.g., OpenStack);
- Monitor system performance, health, and storage integrity;
- Perform hardware installations, upgrades, diagnostics, and repairs;
- Administer and maintain Linux and Windows operating systems;
- Manage user access, permissions, and security compliance;
- Collaborate with AI/ML and research teams to ensure infrastructure readiness;
- Design and implement scalable infrastructure using enterprise and open-source tools;
- Automate server provisioning and system tasks using Bash, PowerShell, or Python;
- Use automation platforms such as Ansible, Terraform, and CloudFormation;
- Manage containers (Docker) and orchestration platforms (Kubernetes);
- Maintain Active Directory, DNS, DHCP, and identity/authentication protocols;
- Administer networking components: VLANs, routing, firewalls, VPNs;
- Configure and manage Arista switches and related network appliances;
- Lead projects for AV systems and hybrid learning environments;
- Maintain physical network setups, including rack mounting and cabling;
- Support hybrid cloud infrastructure; ensure uptime, compliance, and documentation;
- Assist with infrastructure for data ingestion, storage, and processing; and
- Other tasks as assigned.
Knowledge, Skills, and Abilities:
- Proficient in remote server management (e.g., iDRAC) and dynamic resource allocation;
- Familiar with data models, pipelines, ETL workflows, and storage systems;
- Skilled in identifying and resolving performance and system issues;
- Experience with virtualization tools (VMware, KVM, Proxmox);
- Advanced scripting skills (Bash, PowerShell, Python);
- Experience with monitoring tools (Prometheus, Grafana, Nagios);
- Familiarity with network segmentation, firewalls, VLANs, and TCP/IP;
- Knowledge of Arista EOS CLI, ACLs, BGP, STP, EVPN, VXLAN;
- Hands-on experience with switch configuration, patch panels, and physical network setup; and
- Experience in classroom AV systems, hybrid learning setups, and IP management.