AI DevOps Engineer

Role overview An engineering team operating a large internal cloud platform is hiring an AI DevOps Engineer to design and ship automation that provisions environments, enforces security baselines, and integrates AI-assisted tooling. The role focuses on reducing manual toil and increasing operational consistency across multi-cloud infrastructure, with an emphasis on agentic workflows and a paved-road developer experience.

Responsibilities - Build Day 1 automation including infrastructure provisioning pipelines, account vending, golden repo templates, and CI/CD components - Build Day 2 automation for lifecycle management, upgrade pipelines, dependency scanning, drift detection, and automated remediation - Develop and maintain Terraform modules, GitLab CI/CD components, and Python automation that define the platform's paved road - Embed AI and agentic tooling into operational workflows to accelerate delivery and reduce manual intervention - Partner with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails

Requirements - 5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms - Hands-on expertise with Terraform, including module design, state management, and CI-driven workflows - Proficiency in scripting and automation using Python, Bash, or equivalent languages - Working knowledge of CI/CD pipeline design and Kubernetes operations - Understanding of identity federation, secrets management, and least-privilege security patterns - Demonstrated curiosity and active exploration of AI tools integrated into daily workflows

Nice to have - Experience with multi-account governance tooling such as AWS Control Tower, Organizations, SCPs, or RCPs - Familiarity with GitOps patterns and automated infrastructure lifecycle tooling such as Renovate, Dependabot, or ArgoCD - Experience with MLOps frameworks (Kubeflow, MLflow) and managed model services such as Bedrock, SageMaker, Vertex AI, or Gemini Enterprise

Benefits and work setup - Remote position within the United States, with hybrid preference for a Bay Area office - Comprehensive health plans, vacation and sick time off, parental leave options, retirement programs, education reimbursement, and in-office perks