AI DevOps Engineer
Z
ZscalerCloud security
Remote within the United StatesFull-TimeMiddle
Salary140,000 - 175,000 USD per year
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Job Details
- Experience
- 5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms
- Required Skills
- AWSPythonBashGCPKubernetesAzureCI/CDTerraform
Requirements
- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving.
- 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.
- Experience with multi-account governance tooling such as AWS Control Tower, Organizations, SCPs, or RCPs is preferred.
- Experience with GitOps patterns and automated infrastructure lifecycle tooling such as Renovate, Dependabot, or ArgoCD is preferred.
- Experience with MLOps frameworks such as Kubeflow and MLflow, and model services such as Bedrock, SageMaker, Vertex AI, or Gemini Enterprise is preferred.
Responsibilities
- Build and extend Day 1 automation for infrastructure provisioning pipelines, account vending, golden repo templates, and CI/CD components.
- Build and extend Day 2 automation for lifecycle management, upgrade pipelines, dependency scanning, drift detection, and automated remediation workflows.
- Write and maintain Terraform modules, GitLab CI/CD components, and Python automation to establish the platform's paved road.
- Integrate AI and agentic tooling into operational workflows to reduce manual toil and increase operational consistency.
- Collaborate with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails.
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