AI DevOps Engineer

<div class="content-intro"><p data-pm-slice="1 1 []">Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.</p> <p>We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.</p></div><p><strong>Role</strong>&nbsp;</p> <p>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.</p> <p><strong>What you’ll do (Role Expectations)</strong></p> <ul> <li>Build and extend Day 1 automation, including infrastructure provisioning pipelines, account vending, golden repo templates, and CI/CD components</li> <li>Build and extend Day 2 automation for lifecycle management, upgrade pipelines, dependency scanning, drift detection, and automated remediation workflows</li> <li>Write and maintain Terraform modules, GitLab CI/CD components, and Python automation to establish the platform's paved road</li> <li>Integrate AI and agentic tooling into operational workflows to reduce manual toil and increase operational consistency</li> <li>Collaborate with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails</li> </ul> <p><strong>Who You Are (Success Profile)</strong></p> <ul> <li>You thrive in ambiguity. You are comfortable building the path as you walk it, viewing dynamic environments as raw material to build something meaningful.</li> <li>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.</li> <li>You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving hard problems delivers maximum impact.</li> <li>You are a high-trust collaborator. You embrace a challenge culture by giving and receiving ongoing feedback with clarity, respect, and candor.</li> <li>You are a learner. You bring a true growth mindset and actively seek feedback to continuously develop yourself and support your team.</li> </ul> <p><strong>What We’re Looking for (Minimum Qualifications)</strong></p> <ul> <li>Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving</li> <li>5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms</li> <li>Hands-on expertise with Terraform, including module design, state management, and CI-driven workflows</li> <li>Proficiency in scripting and automation using Python, Bash, or equivalent languages</li> <li>Working knowledge of CI/