Cloud Infrastructure Engineer

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.

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.

Preferred Qualifications

• Experience with AWS cost optimization at scale (Savings Plans, Reserved Instances, Spot orchestration).
• Familiarity with compliance frameworks (SOC 2, ISO 27001) in a cloud context.
• Experience in GPU/ML infrastructure or high-performance compute workloads on AWS.
• Proven track record of running on-call rotations, defining SLOs, and driving operational maturity in a fast-moving environment.
• Experience supporting highly technical engineering populations where uptime and speed both matter.