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Salary: USD 140,000 - 175,000 / annual
Zscaler is seeking a Staff Site Reliability Engineer (Federal) to join the Government Cloud department in Crystal City, Virginia. This is a hybrid role reporting to the Manager of Site Reliability Engineering, focused on maintaining and operating the world's largest cloud security platform within classified US Government environments.
You will be responsible for managing operational tasks for products deployed in US Government classified environments, including deployments, on-call duties, incident management, and participation in regular deployment synchronization meetings. You will oversee all cloud infrastructure components such as AWS, private cloud environments, containers, and virtual machines to ensure stability and scalability across multitenant architectures.
Key responsibilities include developing scripts, containerized services, and monitoring mechanisms to automate operational tasks and minimize service disruption. You will build new services and enhance existing ones within classified environments while driving DevOps best practices through comprehensive documentation and escalation management.
This role requires deep technical expertise in site reliability engineering, with a focus on security, compliance, and operational excellence in highly regulated government cloud environments. You will work at the intersection of infrastructure, security, and AI-driven operations, helping to pioneer security transformation in the AI era.
REQUIREMENTS:
- Active US Government Secret security clearance (mandatory; maintenance is a condition of continued employment)
- Bachelor's degree in Computer Science or related field
- 5+ years of Site Reliability Engineering experience in both Operations and Engineering environments
- Proficiency in Linux administration, network troubleshooting, and automation tools (Ansible, Terraform)
- Strong technical skills in Python coding, container-based architectures (AWS ECS, Kubernetes), and monitoring activities (vulnerability scanning, patch management, reporting)
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions
PREFERRED QUALIFICATIONS:
- Experience deploying or managing AI-driven observability and AIOps solutions for predictive anomaly detection and automated incident response
- Experience working within air-gapped and classified environments managing monthly monitoring programs
- Familiarity with High/Moderate FedRAMP authorization levels and compliance requirements
- Information Assurance Technician Level 2 certification
- Top Secret security clearance
