Staff Site Reliability Engineer

About the role

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. 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.

This is a hybrid role based in Crystal City, Virginia, reporting to the Manager, Site Reliability Engineering in the Government Cloud department. You will join the team responsible for building the world's largest cloud security platform, enabling organizations worldwide to harness speed and agility. In this critical role, you will maintain our commitment to security by managing operations within classified environments, ensuring our multitenant architecture remains the leader in cloud security.

Responsibilities

• Manage operational tasks for products in US Government classified environments, including deployments, on-call duties, incident management, and participation in regular deployment syncs
• Oversee all cloud infrastructure components such as AWS, private cloud environments, containers, and VMs to ensure stability and scalability
• Develop scripts, containerized services, and monitoring mechanisms to automate operations tasks and minimize service disruption
• Build new and enhance existing services within classified environments while driving DevOps best practices through documentation and escalation management

Success profile

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

Requirements

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• Active US Government Secret security clearance (maintenance of this clearance is a condition of continued employment)
• Bachelor's degree in Computer Science or a related field with 5+ years of Site Reliability Engineering experience in both Operations and Engineering environments
• Proficiency in Linux administration, network troubleshooting, and automation tools like Ansible and Terraform
• Strong technical skills in Python coding, container-based architectures including AWS ECS and Kubernetes, and experience in monitoring activities such as vulnerability scanning, patch management, and reporting

Preferred qualifications

• Experience deploying or managing AI-driven observability and AIOps solutions for predictive anomaly detection and automated incident response within cloud infrastructure
• Experience working within air-gapped and classified environments managing monthly monitoring programs
• Familiarity with High/Moderate FedRAMP authorization levels and compliance requirements, possession of Information Assurance Technician Level 2 certification, or Top Secret security clearance

Pay

Base salary range: $140,000—$175,000 USD