Sr. Site Reliability Engineer- Federal

Santa Clara · USD 118,400-148,000 · 3+ years experience · Hybrid · Posted Oct 15, 2026

At a glance

We are looking for a Sr. Site Reliability Engineer (Production Engineer) to join our team in a hybrid role.
As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler’s high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet.

Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams
Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools
Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go
Quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation
Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems
Define and enforce SLOs/error budgets to reduce alert noise
Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts
Embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start

US Citizenship is required
Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
3+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms
Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation
Deep knowledge of Linux OS internals and kernel troubleshooting
Comprehensive understanding of networking protocols and packet-level analysis

Hands-on experience operating and managing FreeBSD / BSD operating systems in production
Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms
Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis