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# DevOps Engineer

- **Company:** Cardinal Integrated Technologies Inc
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Backup Devices, Bash Shell, BIOS, Ubuntu (Operating System), CentOS, Configuration Management, Continuous Integration, Data Centers, Linux, DevOps, Disaster Recovery, RAID, Domain Name System (DNS), VMware ESX Servers, Firmware, Github, Monitoring of Systems, Python (Programming Language), Linux System Administration, Logical Volume Manager, Networking Basics, Network File Systems, Windows PowerShell, Red Hat Enterprise Linux, Ansible, Prometheus, TCP/IP, Virtual Local Area Networks, VMware VSphere, Google Cloud, Grafana, Virtual Environment, Firewalls (Computer Science), Gitlab, Git, Gitlab-ci, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Storage Technologies, Information Technology, Data Management, Machine Learning Operations, Hardware Infrastructure, Puppet, Terraform, Software Version Control, Docker, Elk Stack, Jenkins, Nvme
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/15_559392e7

## About the Role

Skill 1 Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps
Skill 2 Develop and maintain scripts using Bash, Python, or PowerShell
Skill 3 Deploy, configure, and maintain physical servers including Dell, HPE, Supermicro, or Lenovo platforms

Good To have Skills
Skill 1 DevOps tools: Jenkins, GitLab, GitHub, Azure DevOps, " 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.

## Description

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., 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