AI DevOps Engineer

AI DevOps Engineer Jobs (Full-Time) in San Jose, CA or Remote. $140K-$175K/yr + benefits. Apply directly on Zscaler.

About Zscaler

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

Role

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.

What We’re Looking for (Minimum Qualifications)

• 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

What Will Make You Stand Out (Preferred Qualifications)

• 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

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