AI DevOps Engineer

Zscaler•San Jose, CA

3d•$140,000 - $175,000•Remote

About The Position

Zscaler is hiring an AI DevOps Engineer for its Cloud Platform Engineering department. The team builds and operates the internal cloud platform that supports Zscaler’s product and corporate infrastructure across AWS, GCP, and Azure. This remote role is within the United States, with a hybrid preference for San Jose, California, and reports to the Manager, IT Cloud Operations. The engineer will design and deliver automation for provisioning cloud environments, enforcing security baselines, and incorporating AI-assisted tools and agentic workflows to accelerate delivery. The work includes developing Day 1 provisioning and CI/CD automation, Day 2 lifecycle management and remediation workflows, and the Terraform, GitLab CI/CD, and Python components that establish the platform’s paved road. The role also integrates AI tooling into operations and collaborates with Security, IAM, Network, and FinOps teams to automate guardrails.

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.
At least 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.

Nice To Haves

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 such as Kubeflow and MLflow, and model services such as Bedrock, SageMaker, Vertex AI, or Gemini Enterprise.

Responsibilities

Build and extend Day 1 automation, including infrastructure provisioning pipelines, account vending, golden repository 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.