Member of Technical Staff - DevOps and SRE
Cerebras · Sunnyvale, CA · Norway · Toronto, CAN · Finland
CHECKED 8H AGO
Infrastructureremotesenior
At a glance
Highlights
- Bring new large-scale data center sites online quickly and reliably.
- Support commissioning and validation of network, power and mechanical systems.
- Help scale ultra-fast AI inference beyond constraints of the GPU.
Ideal candidate
Hands-on infrastructure problem-solver with data center deployment experience who thrives in fast-paced field environments and loves building repeatable processes that scale across parallel sites.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related technical field
- At least 5 years of relevant experience in network device and server provisioning, data center infrastructure, SRE, or related field
- Strong hands-on experience with server and network device provisioning and troubleshooting across compute, networking, OS, configuration and automation layers
- Proficiency in Python and shell scripting with experience using automation to streamline infrastructure deployment
- Hands-on experience with at least one major cloud platform — AWS, GCP, or Azure — and with Kubernetes
- 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 software OS, and PDU firmware
- Strong problem-solving, communication, collaboration, and documentation skills in fast-paced deployment environments
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed