[Remote] AI DevOps Engineer

Note: The job is a remote job and is open to candidates in USA. Zscaler is hiring an AI DevOps Engineer to build and operate the internal cloud platform supporting its product and corporate infrastructure across AWS, GCP, and Azure. The role focuses on automating cloud provisioning and lifecycle management, enforcing security guardrails, and integrating AI-assisted tools and agentic workflows.

Responsibilities

• Build and extend Day 1 automation, including 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

Skills

• 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
• Experience with GitOps patterns and automated infrastructure lifecycle tooling such as Renovate, Dependabot, or ArgoCD
• Experience with MLOps frameworks: kubeflow, ML flow, and model services like Bedrock, Sagemaker, Vertex AI, Gemini Enterprise

Benefits

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks

Company Overview

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