# Data Center Provisioning Engineer

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Sunnyvale, CA, Toronto, Canada
**Role:** DevOps / SRE
**Experience:** 5+ years
**Skills:** Python, Shell Scripting, AWS, GCP, Azure, Kubernetes, Terraform, Ansible, Pxe, DNS, Dhcp, TCP/IP, BGP, Ospf, Vlans
**Posted:** 2026-08-18

> Provisions, commissions, and validates network, server, and related infrastructure across large-scale data center deployments. The role requires 5+ years of relevant experience, strong networking and systems troubleshooting skills, and proficiency in automation, cloud platforms, Kubernetes, Terraform, and Ansible.

## Job Description

## Responsibilities
- Provision and configure network devices, firewalls, and servers in data centers using documented processes, provisioning frameworks, and automation tools.
- Troubleshoot server, network, configuration, automation, and connectivity issues during infrastructure provisioning and service bring-up.
- Coordinate with engineering teams, data center technicians, cabling vendors, and rack integrators to support infrastructure deployment and site readiness.
- Support network, power, and mechanical commissioning, including testing and validation of connectivity, device configurations, server readiness, and infrastructure dependencies.
- Improve provisioning processes, tooling, and automation for reliable, repeatable, and scalable deployment across multiple sites.
- Perform post-deployment validation and integrate infrastructure with monitoring, alerting, and operational tooling.
- Coordinate handoff of deployed infrastructure to Cluster Operations, Network Operations, and Site Operations teams.
- Document deployment procedures, troubleshooting findings, lessons learned, and process improvements.

## Requirements
- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field.
- At least 5 years of relevant experience in network device and server provisioning, data center infrastructure, Site Reliability Engineering, or a related field.
- Hands-on experience provisioning and troubleshooting servers and network devices across compute, networking, operating systems, configuration, and automation layers.
- Proficiency in Python and shell scripting, including automation for infrastructure deployment.
- Experience with at least one major cloud platform: AWS, Google Cloud, or Azure.
- Experience with Kubernetes, including deployment, scaling, troubleshooting, and cluster management.
- Experience with Infrastructure as Code and configuration management, particularly Terraform and Ansible.
- Strong knowledge of PXE, DNS, DHCP, TCP/IP, load balancing, VPCs, firewalls, VLANs, LACP, BGP, and OSPF.
- Experience upgrading server firmware, switch operating system software, and PDU firmware.
- Strong problem-solving, communication, collaboration, and documentation skills.

## Compensation and Benefits
- Work on a breakthrough AI platform and high-performance AI supercomputers.
- Opportunities to publish and open-source AI research.
- Startup vitality with job stability.
- Non-corporate work culture with respect for individual beliefs.
- Inclusive environment with continuous learning, growth, and team support.

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