Staff Kubernetes Platform Engineer

Build Kubernetes platform architecture for Cerebras Systems’ inference clusters, applying reliability, security, and systems engineering expertise.

This Staff Engineer role leads projects on the Inference Platform team, which owns orchestration across datacenter clusters. You will connect cloud components with machine learning services while addressing complex challenges in Kubernetes operators, custom resource definitions, and service security policies. The position combines direct production coding with technical direction, design reviews, and cross-functional influence. Cerebras develops AI hardware and inference infrastructure for model labs, enterprises, and AI-native startups.

Key Responsibilities:

• Own technical direction for major platform areas and roadmaps
• Write and review production code on critical paths
• Define failure domains, service boundaries, and system evolution
• Drive observability, incident response, and operational rigor
• Partner with ML, Product, Infrastructure, and Cloud teams

Requirements:

• Eight or more years building and operating distributed systems
• Deep expertise in Kubernetes and distributed systems architecture
• Architectural judgment for highly available, latency-sensitive systems
• Experience with certificates, TLS, and mTLS security
• Ability to influence senior engineers and technical partners

Apply Kubernetes architecture, security knowledge, and technical leadership to advance Cerebras Systems’ inference platform.