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Network Security Engineer (Remote)

Cerebras

Remote (US)Remote OKFullTime

About this role

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Cerebras is seeking a Network Security Engineer to build, operate, and secure the network infrastructure supporting our data centers, cloud environments, corporate network, and AI systems. This is a remote, U.S.-based individual contributor role working across network security and network operations. You will support firewalls, segmentation, routing and switching, network access, and automation while collaborating with on-site data center and infrastructure teams. Occasional travel to Cerebras offices or data centers may be required. Responsibilities Operate firewalls, ACLs, segmentation, and network security controls across data center, corporate, and AWS environments. Remotely support data center network deployment, configuration, troubleshooting, maintenance, and lifecycle management in partnership with on-site teams. Implement and maintain segmentation, firewall, and ACL policies across corporate, compute, customer, and infrastructure environments. Manage inbound and outbound network controls, including public exposure, NAT, load balancers, DNS filtering, proxies, and egress policies. Implement and operate VPN, ZTNA, NAC, Wi-Fi, and vendor or partner connectivity. Perform recurring firewall rule reviews, segmentation audits, and remediation of unnecessary network exposure. Aut

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