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Zscaler is seeking an AI DevOps Engineer to join the Cloud Platform Engineering team, reporting to the Manager of IT Cloud Operations. The role is remote within the US with a hybrid preference for the San Jose, CA office.
You will design and ship automation that provisions cloud environments, enforces security baselines, and integrates AI-assisted tooling and agentic workflows to accelerate delivery across AWS, GCP, and Azure. This is a hands-on technical role focused on building the internal cloud platform that powers Zscaler's product and corporate infrastructure.
Key responsibilities include:
- Building and extending Day 1 automation: infrastructure provisioning pipelines, account vending, golden repo templates, and CI/CD components
- Building and extending Day 2 automation: lifecycle management, upgrade pipelines, dependency scanning, drift detection, and automated remediation workflows
- Writing and maintaining Terraform modules, GitLab CI/CD components, and Python automation to establish the platform's paved road
- Integrating AI and agentic tooling into operational workflows to reduce manual toil and increase operational consistency
- Collaborating with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails
Required qualifications:
- 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, with a proven history of integrating new technologies to enhance daily workflows
Preferred qualifications include experience with multi-account governance tooling (AWS Control Tower, Organizations, SCPs), GitOps patterns and automated infrastructure lifecycle tooling (Renovate, Dependabot, ArgoCD), and MLOps frameworks (kubeflow, MLflow, Bedrock, Sagemaker, Vertex AI).
Zscaler is an AI-forward enterprise leveraging the world's largest security data lake to power its cloud-native Zero Trust Exchange platform. The company culture emphasizes impact over activity, constructive debate, customer obsession, collaboration, ownership, and accountability.
