Remote (US) Remote (Country) Full-time

Cerebras Systems is hiring a Network Security Engineer (Remote)

Responsibilities

  • Manage firewalls, ACLs, segmentation, and network security controls in data center, corporate, and AWS settings.
  • Provide remote support for data center network deployment, configuration, troubleshooting, maintenance, and lifecycle management alongside on-site teams.
  • Implement and maintain segmentation, firewall, and ACL policies across corporate, compute, customer, and infrastructure environments.
  • Oversee inbound and outbound network controls, including public exposure, NAT, load balancers, DNS filtering, proxies, and egress policies.
  • Operate VPN, ZTNA, NAC, Wi-Fi, and connectivity for vendors or partners.
  • Conduct recurring firewall rule reviews, segmentation audits, and remediation of unnecessary network exposure.
  • Automate network and security workflows using Terraform, Ansible, GitOps, Python, and policy as code.
  • Support network telemetry, detection, investigation, and containment in collaboration with Security Operations.
  • Troubleshoot routing, switching, TCP/IP, DNS, TLS, and cloud networking issues.
  • Maintain network architecture documentation, procedures, and runbooks.
  • Coordinate remote changes and incident response across distributed infrastructure and engineering teams.

Work Arrangement

Remote, U.S.-based individual contributor role working across network security and network operations.

Other

  • This is a remote, U.S.-based individual contributor role working across network security and network operations.
  • Occasional travel to Cerebras offices or data centers may be required.
  • Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
Job Details
Location Remote (US)
Work mode Remote (Country)
Employment Full-time
Department IT & Security
Category Security
Posted 20 days ago
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About company
Cerebras Systems logo

Cerebras is a pioneering company in AI computing, founded in 2015 with the mission of bringing wafer-scale computing to market. The company builds revolutionary technologies that enable unprecedented speed and efficiency in AI training and inference.

Today, Cerebras powers the world’s fastest AI inference and training platform, serving organizations across medical research, cryptography, energy, and agentic AI. Its CS-2 and CS-3 systems allow customers to build on-premise supercomputers, while its cloud offerings provide scalable access to AI acceleration.

The company has achieved significant milestones, including the launch of the WSE-1, WSE-2, and WSE-3 chips, and the deployment of the Condor Galaxy network of supercomputers in partnership with G42. Cerebras continues to push the boundaries of AI performance, powering cutting-edge models and integrations with leaders like OpenAI, Meta, and Hugging Face.

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