Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
We are seeking a Senior Cloud Infrastructure Engineer to design, build, and operate the AWS infrastructure that powers Cerebras' products and platform. This is a high-ownership, hands-on role at the intersection of infrastructure engineering and reliability — you will architect scalable cloud systems, drive infrastructure-as-code practices, and partner with engineering teams to ensure our production environment is fast, resilient, and secure as we scale. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of experience in cloud infrastructure, SRE, or DevOps roles with a strong software engineering foundation
- Deep, hands-on AWS expertise — able to architect complex multi-region, multi-account environments from first principles. AWS Solutions Architect Professional or equivalent practical depth required
- Expert-level Terraform, experience with Atlantis or similar GitOps workflows for infrastructure
- Strong programming skills in Python, Go, or similar — comfortable writing production-grade automation, not just scripts
- Proven experience with Kubernetes (EKS preferred) — cluster lifecycle, networking (CNI, service mesh), and workload reliability
- Deep understanding of AWS networking: VPC design, peering, Transit Gateway, Direct Connect, security groups, and NACLs
More 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.
We are seeking a Senior Cloud Infrastructure Engineer to design, build, and operate the AWS infrastructure that powers Cerebras' products and platform. This is a high-ownership, hands-on role at the intersection of infrastructure engineering and reliability — you will architect scalable cloud systems, drive infrastructure-as-code practices, and partner with engineering teams to ensure our production environment is fast, resilient, and secure as we scale.
Architect and operate core AWS...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs