[Remote] AI DevOps Engineer

Note: The job is a remote job and is open to candidates in USA. Zscaler is a cybersecurity company that provides a cloud-native Zero Trust Exchange platform to help organizations secure users, devices, and applications. The AI DevOps Engineer will build and operate automation for multi-cloud infrastructure across AWS, GCP, and Azure, including provisioning, lifecycle management, security guardrails, CI/CD, and AI-assisted operational 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
• Remote within the United States, with a hybrid preference for San Jose, CA

Company Overview

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