AI DevOps Engineer

• 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

• 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.

• 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

Zscaler 's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$140,000 - $175,000 USD

At Zscaler , we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

• Various health plans

• Time off plans for vacation and sick time

• Parental leave options

• Retirement options

• Education reimbursement

• In-office perks, and more!

Learn more about Zscaler 's hybrid working model and benefits here.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.