Devops Engineer

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.