Sr. Staff DevOps Engineer - Federal

Zscaler is an AI-forward enterprise focused on digital transformation and cybersecurity. They are seeking a Sr. Staff DevOps Engineer to architect and manage global cloud infrastructure for their Zero Trust Networking Services, ensuring operational health and delivery pipeline management for a large-scale distributed system.

Responsibilities:

• Design and implement a multi-region AWS architecture and lead the development of modular Terraform libraries to automate provisioning across diverse geographies
• Architect self-healing infrastructure using advanced cloud load balancing, auto-scaling patterns, and Multi-AZ database topologies to ensure high availability
• Modernize CI/CD pipelines and implement Blue/Green and Canary deployment strategies to ensure zero-downtime upgrades for a continuously running global network service
• Build comprehensive SRE dashboards and implement intelligent alerting frameworks to detect regional outages or capacity exhaustion before they impact customers
• Monitor cloud resource utilization and implement scaling policies that perfectly balance performance requirements with cost-efficiency

Requirements:

• 8+ years of overall experience in Software Engineering, DevOps, or Site Reliability Engineering combined with a BS/MS in Computer Science or relevant field
• Deep mastery of AWS services and architecting AWS-managed SQL and NoSQL data stores, with a focus on designing scalable local and multi-region deployment strategies
• Advanced expertise in Infrastructure as Code using Terraform and expert proficiency in Python or Go for building automation tooling
• Strong knowledge of Linux/BSD internals, observability stacks (Prometheus, InfluxDB), and security compliance (PKI, IAM, DevSecOps)
• U.S. citizenship due to the nature of the customers assigned to this role
• Experience managing large-scale distributed systems or IoT-style connectivity platforms
• Background in Network Engineering or working with Data Plane forwarding technologies
• Experience with Chaos Engineering methodologies in a public cloud environment