Cloud Engineer, Cloud Operations

Rivian

Atlanta, GAFresher6d agovia LinkedIn

About the Role

The Cloud Engineer will design, operate, and continuously improve Rivian’s multi-cloud infrastructure with a strategic focus on our expansion into Google Cloud Platform (GCP), AI/LLM enabled workloads, and our already mature AWS environment. This is a hands-on, operations-focused role that drives infrastructure automation, security, observability, and cost optimization for mission-critical cloud workloads.

Key Responsibilities

  • Leverage AI tools and technologies to deliver cloud solutions that enable teams to operate cloud workloads that are performance and cost optimized.
  • Operate and secure core networking, accounts, and workload identities (IAM/SSO) in GCP.
  • Enable and operationalize cloud services to support AI/ML and LLM workloads, including AWS Bedrock and GCP AI platforms.
  • Automate infrastructure end-to-end using Terraform (IaC), AWX/Ansible, and CI/CD best practices.
  • Maintain and troubleshoot critical workloads, including EKS/Kubernetes environments, HPC clusters, and large-scale storage.
  • Implement and improve observability best practices (e.g., AWS CloudWatch, GCP Monitoring) and participate in on-call rotations and incident response.
  • Drive cost efficiency (FinOps mindset) by supporting ongoing cost reviews and optimization efforts.

Requirements & Tech Stack

  • Growth mindset with the ability to evaluate/learn new technologies quickly and apply them to deliver solutions that meet business needs.
  • Hands-on experience operating production workloads on GCP (AWS is a plus).
  • Expertise in Infrastructure-as-Code (Cloud Formation, CDK, Terraform) and configuration management (Ansible/AWX).
  • Strong knowledge of core GCP services (GKE, networking, Vertex AI/Gemini).
  • Practical experience with observability tools (e.g., Datadog) and strong debugging skills across distributed systems.
  • Proficiency in a modern programming or scripting language for tooling and automation (e.g., Python, Go).
  • Proficiency in generating software using coding agents; productionizing vibe-coded applications.

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