AI-Driven Cloud Engineer (GCP/AWS, Terraform)

Rivian Automotive; Atlanta (GA); On-site; USD 98,000 - 122,000; Full time

Benefits offered by this job

Paid vacation

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) Plan

Employee Stock Purchase Program

Paid sick leave

Job summary

Rivian Automotive in Georgia, USA, seeks a Cloud Engineer to design, operate, and continuously improve Rivian’s multi-cloud infrastructure with a focus on GCP, AI/LLM workloads, and the mature AWS environment.

This hands-on role drives infrastructure automation, security, observability, and cost optimization for mission-critical workloads, using Terraform, Ansible, and CI/CD, while maintaining EKS/Kubernetes and responding to on-call incidents.

Qualifications

• Growth mindset with ability to learn new technologies.
• Hands-on production workloads on GCP (AWS a plus).
• Expertise in Infrastructure-as-Code (Terraform, CloudFormation, CDK) and configuration management (Ansible/AWX).
• Strong knowledge of core GCP services (GKE, Vertex AI, Gemini).
• Experience with observability tools (Datadog) and debugging distributed systems.
• Proficiency in Python or Go for tooling automation.
• Experience producing software using coding agents.

Responsibilities

• Deliver cloud solutions with performance and cost optimization.
• Secure core networking, IAM/SSO in GCP.
• Enable AI/ML workloads using AWS Bedrock and GCP AI platforms.
• Automate infrastructure end-to-end using Terraform and Ansible.
• Maintain EKS/Kubernetes environments and HPC clusters.
• Improve observability with CloudWatch and GCP Monitoring and participate in on-call.
• Drive FinOps cost optimization.

Skills

Growth mindset

Hands-on GCP experience

Strong debugging skills

Scripting in Python/Go

Tools

Terraform

Ansible/AWX

GKE

CloudFormation/CDK

Datadog

AWS

Vertex AI

Job description

Rivian Automotive in Georgia, USA, seeks a Cloud Engineer to design, operate, and continuously improve Rivian’s multi-cloud infrastructure with a focus on GCP, AI/LLM workloads, and the mature AWS environment.

This hands-on role drives infrastructure automation, security, observability, and cost optimization for mission-critical workloads, using Terraform, Ansible, and CI/CD, while maintaining EKS/Kubernetes and responding to on-call incidents.