AI DevOps Engineer

🕒 August 20

🏄 California – Remote

🏄 California – Remote

💵 $140k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• Design and ship automation that provisions cloud environments, enforces security baselines, and integrates AI-assisted tooling and agentic workflows • 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 • Report to the Manager, IT Cloud Operations in the Cloud Platform Engineering department

🎯 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 • 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 • Hybrid working model