Infrastructure Systems Engineer – Linux, Storage & Automation

The role

This engineer will deploy, automate, troubleshoot, and maintain Linux-based compute and data storage infrastructure. The role involves building automation to improve reliability and managing physical and virtual environments.

What you will do

• Deploy, configure, and maintain Linux servers across physical and virtual environments.
• Deploy and support data storage systems, including block, file, and object storage.
• Configure and troubleshoot storage connectivity, volumes, filesystems, permissions, and access.
• Monitor storage capacity, performance, and availability.
• Develop Python and Bash scripts to automate provisioning, configuration, validation, and routine operational tasks.
• Build and maintain Ansible playbooks and roles.
• Troubleshoot issues across operating systems, applications, networking, storage, and virtualization platforms.
• Investigate logs, analyze system behavior, and resolve performance, availability, and configuration problems.
• Manage virtual machines and troubleshoot hypervisor, virtual networking, and storage integration issues.
• Support server provisioning, operating system installation, patching, upgrades, and configuration management.

Required qualifications

• Strong hands-on experience administering and troubleshooting Linux systems.
• Proficiency in Python and shell scripting, particularly Bash.
• Practical experience with Ansible for automation and configuration management.
• Experience with virtualization platforms such as KVM, VMware, or Proxmox.
• Hands-on experience administering enterprise or distributed storage systems.
• Working knowledge of block, file, and object storage concepts, with practical experience in protocols such as NFS, SMB, iSCSI, or S3.
• Familiarity with Linux storage management, including disk configuration, RAID, LVM, filesystems, and mount management.
• Ability to troubleshoot storage performance using metrics such as IOPS, throughput, and latency.
• Strong debugging skills and a methodical approach to root cause analysis.
• Working knowledge of TCP/IP, DNS, DHCP, routing, VLANs, and network troubleshooting.
• Familiarity with Linux services, permissions, processes, package management, and system logs.
• Experience using Git for version control and collaborative development.

Nice to have

• Experience with storage platforms such as VAST Data, NetApp, Dell PowerScale, Pure Storage, or Ceph.
• Familiarity with high-performance storage networking, including RDMA, RoCE, or InfiniBand.
• Experience with bare-metal provisioning, PXE boot, Kickstart, or cloud-init.
• Familiarity with server management interfaces such as BMC, IPMI, or Redfish.
• Experience with Docker, Kubernetes, or other container technologies.
• Familiarity with infrastructure monitoring and centralized logging tools.
• Experience supporting data center, AI/ML, or high-performance computing environments.
• Experience planning storage capacity, expanding storage systems, and supporting data migrations.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.