AI DevOps Engineer

Zscaler • San Jose, CA

1d • $140,000 - $175,000 • Remote

About The Position

We are looking for an AI DevOps Engineer to join our team. This is a Remote within the United States (with a hybrid preference for San Jose, CA) role, reporting to the Manager, IT Cloud Operations in the Cloud Platform Engineering department. Our team builds and operates the internal cloud platform that powers Zscaler's product and corporate infrastructure across AWS, GCP, and Azure. In this role, you will design and ship automation that provisions cloud environments, enforces security baselines, and integrates AI-assisted tooling and agentic workflows to accelerate delivery.

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

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: kubeflow, ML flow, and model services like Bedrock, Sagemaker, Vertex AI, Gemini Enterprise

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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed