About The Position

Cerebras Systems is seeking a hands-on Infrastructure Systems Engineer to deploy, automate, troubleshoot, and maintain Linux-based compute and data storage infrastructure. The role combines Linux administration with Python, Ansible, shell scripting, virtualization, and storage expertise. The engineer will investigate complex problems, determine root causes, and build automation that improves reliability and reduces manual work. Success in the role means maintaining reliable compute and storage infrastructure, creating repeatable automation, resolving problems faster, planning capacity effectively, and producing clear documentation that helps the team operate and scale efficiently.

Requirements

  • 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.
  • Ability to own technical problems through resolution and communicate findings clearly.

Nice To Haves

  • 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.

Responsibilities

  • Deploy, configure, and maintain Linux servers in physical and virtual environments.
  • Deploy and support block, file, and object storage systems.
  • Configure and troubleshoot storage connectivity, volumes, filesystems, permissions, and access from Linux hosts and virtual machines.
  • Monitor storage capacity, performance, and availability, and investigate latency, throughput, and connectivity issues.
  • Develop Python and Bash scripts to automate provisioning, configuration, validation, and routine operational tasks.
  • Build and maintain Ansible playbooks and roles for consistent, repeatable infrastructure deployments.
  • 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.
  • Support data protection and recovery through snapshots, replication, backups, and restore validation.
  • Implement monitoring, health checks, and alerts to identify problems early.
  • Collaborate with engineering, networking, storage vendors, and data center operations teams to deploy and support infrastructure.
  • Document configurations, troubleshooting procedures, and operational runbooks.
  • Plan storage capacity, expand storage systems, and support data migrations (preferred experience).
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