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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI DevOps Engineer - **Company:** Zscaler, Inc. - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, DevOps, Identity and Access Management, Python (Programming Language), Key Management, Google Cloud, Cloud Platform System, Multi-Cloud, Gitlab-ci, Kubernetes, Machine Learning Operations, CIS Benchmarks, Terraform - **Published:** August 21, 2026 - **Apply:** https://dejobs.org/x/x/88F481521E9248BAB878E716E78C476B/job/ ## About the Role * 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 #LI-Remote #LI-YC2 ## Description 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. What you'll do (Role Expectations) * 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 Who You Are (Success Profile) * You thrive in ambiguity. You are comfortable building the path as you walk it, viewing dynamic environments as raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action, seamlessly navigating between high-level strategy and hands-on execution. * You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving hard problems delivers maximum impact. * You are a high-trust collaborator. You embrace a challenge culture by giving and receiving ongoing feedback with clarity, respect, and candor. * You are a learner. You bring a true growth mindset and actively seek feedback to continuously develop yourself and support your team. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 166: Sycophancy, Zip bombs and AI Native Development](https://www.wearedevelopers.com/magazine/585-dev-digest-166-sycophancy-zip-bombs-and-ai-native-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)