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Cloud Infrastructure Engineer

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA)Full-timePosted today

About the role

Senior Cloud Infrastructure Engineer to design, build, and operate the AWS infrastructure powering Cerebras' products and platform. High-ownership, hands-on role focusing on scalable cloud systems, infrastructure-as-code, reliability, security, and collaboration with engineering teams as the company scales.

Responsibilities

  • Architect and operate core AWS infrastructure: VPCs, EKS/ECS, IAM, networking (Transit Gateway, Direct Connect, PrivateLink), and data services (RDS, S3, ElastiCache).
  • Own the reliability posture of cloud workloads — define SLOs, error budgets, and runbooks; lead incident response and durable root cause remediation.
  • Build and maintain infrastructure-as-code using Terraform and GitOps pipelines; eliminate manual provisioning entirely.
  • Design and implement multi-account AWS organization strategies (AWS Organizations, Control Tower, SCPs) for security and cost governance.
  • Instrument cloud infrastructure with comprehensive observability — metrics, tracing, alerting, and cost visibility using tools like Prometheus, Grafana, Datadog, or CloudWatch.
  • Drive automation for provisioning, scaling, patching, and lifecycle management to eliminate toil.
  • Partner with security, networking, and platform teams on cloud security architecture, identity federation, and network reliability.
  • Evaluate and adopt AWS-native and third-party tooling to improve developer experience and infrastructure efficiency.

Qualifications

  • 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.
  • Experience with AWS IAM at scale — role design, permission boundaries, OIDC federation, and least-privilege enforcement.
  • Hands-on experience with AI coding tools and deploying AI-assisted automation for triage, incident response, or operational workflows.
  • Strong incident command skills — you've owned production outages end-to-end and written the postmortems.

Skills

Required:AWSTerraformKubernetesProgrammingNetworkingIAM & security
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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