SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 132,000 - 165,000 / annual
Zscaler is seeking a Senior Site Reliability Engineer (Federal) to join the Government Cloud department in Crystal City, Virginia. This hybrid role reports to the Manager of Site Reliability Engineering and focuses on maintaining operations within classified US Government environments for the world's largest cloud security platform.
You will be responsible for managing operational tasks for products in US Government classified environments, including deployments, on-call duties, incident management, and participation in regular deployment syncs. You will oversee all cloud infrastructure components such as AWS, private cloud environments, containers, and VMs to ensure stability and scalability. A key part of your role involves developing scripts, containerized services, and monitoring mechanisms to automate operations tasks and minimize service disruption. You will also build new and enhance existing services within classified environments while driving DevOps best practices through documentation and escalation management.
Zscaler's Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications. The platform is distributed across 200+ public data centers globally and thousands of private sites at the edge, making it the world's largest in-line cloud security platform. The company is building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges.
REQUIREMENTS:
- Active US Government Secret security clearance (maintenance is a condition of continued employment)
- Bachelor's degree in Computer Science or related field
- 3+ years of Site Reliability Engineering experience in both Operations and Engineering environments
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions
- 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)
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
