Senior Staff Security Engineer, Distributed Systems

The role

This person will build next generation security controls and services in on-prem and cloud clusters. They will drive hardening efforts across the cluster stack including bare metal, virtualized, and k8s containerized levels.

What you will do

• Define core security requirements for distributed systems environments
• Partner with platform, infrastructure, networking, and hardware teams to deliver security solutions
• Develop threat models for each part of the cluster stack
• Work with engineering leads and architects to bake secure design in from the beginning
• Balance engineering outcomes with security controls
• Document security posture and strategy for technical and nontechnical audiences

Required qualifications

• 8-10 years of experience with heterogenous compute environments, kubernetes hardening, and general networked system security
• 10+ years with HPCs (high performance clusters)
• Strong hands-on engineering abilities in on-prem and cloud environments
• Ability to work in fragmented ecosystems, hardening both modern k8s deployments as well as bare metal instances
• Strong written communication skills

Nice to have

• Familiarity with AWS, Kubernetes, and distributed compute systems

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.