DevOps Engineer
$65 - $68 per hourAmerican IT Systems
DevOps Engineer
Location : SCLA
Bill Rate : $65-68
Applied Material
We are seeking a highly motivated DevOps Engineer with strong hands-on experience in both software automation and hardware infrastructure management. The ideal candidate will be responsible for designing, deploying, automating, and supporting Linux-based physical and virtual environments, CI/CD pipelines, storage systems, networking, and server hardware platforms, including GPU-enabled systems.
Key Responsibilities
DevOps & Automation
Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps.
Automate infrastructure provisioning using Ansible, Terraform, Puppet, or similar tools.
Develop and maintain scripts using Bash, Python, or PowerShell.
Implement infrastructure-as-code (IaC) best practices.
Support containerized workloads using Docker and Kubernetes.
Monitor system performance and availability using Prometheus, Grafana, ELK Stack, or similar tools.
Manage source code repositories and branching strategies using Git.
Hardware & Infrastructure
Deploy, configure, and maintain physical servers including Dell, HPE, Supermicro, or Lenovo platforms.
Install and troubleshoot Linux operating systems (RHEL, Rocky Linux, Ubuntu, CentOS).
Configure RAID, LVM, NVMe storage, NFS, and SAN/NAS environments.
Support GPU servers and accelerator hardware (NVIDIA Tesla, A100, H100, RTX series).
Perform hardware diagnostics, firmware updates, BIOS configuration, and server lifecycle management.
Work with network teams to configure switches, VLANs, firewalls, and server connectivity.
Support disaster recovery, backup, and recovery processes using tools such as ReaR, Clonezilla, or enterprise backup solutions.
Manage rack-and-stack activities in data center and lab environments.
Technical Skills
Required
Linux Administration (5+ years)
DevOps tools: Jenkins, GitLab, GitHub, Azure DevOps
Configuration Management: Ansible, Terraform
Scripting: Bash, Python
Containers: Docker, Kubernetes
Version Control: Git
Storage Technologies: RAID, LVM, NFS
Server Hardware Troubleshooting
Networking fundamentals (TCP/IP, DNS, VLANs, Firewalls)
Preferred
GPU cluster deployment and management
VMware vSphere / ESXi
Public Cloud (Azure, AWS, GCP)
Monitoring tools (Prometheus, Grafana)
Experience supporting AI/ML infrastructure
Enterprise storage platforms
Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
5+ years of Linux System Administration experience.
3+ years of DevOps and automation experience.
Experience working in data center, lab, or enterprise infrastructure environments.
Strong troubleshooting and problem-solving skills.
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