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# Cloud Infrastructure Engineer

- **Company:** Cerebras Systems
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Computing Security, Computer Programming, Data as a Services, DevOps, Federated Identity Management, Identity and Access Management, Python (Programming Language), OpenID, Peering, Prometheus, Software Engineering, Datadog, Cloud Platform System, Amazon ElastiCache, Istio, Grafana, Reliability of Systems, AI Coding Agents, Amazon Virtual Private Cloud (VPC), Amazon Relational Database Service, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Cloudwatch, Terraform
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=744bb2469e6afe1a

## About the Role

* 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.

## Description

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 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.