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Salary: USD 118,400 - 148,000 / annual
Zscaler is seeking a Senior Site Reliability Engineer to join the Zero Trust Exchange team. This hybrid role (3 days/week onsite in Santa Clara, CA) focuses on owning 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.
This is a software-first SRE role emphasizing production-grade code and automation. You will drive the shift from reactive incident response and bring engineering discipline to systems-level work—OS, network, and application debugging—that keeps the fleet operating safely at scale.
Key Responsibilities:
- 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 (strace, lsof, tcpdump, iostat, vmstat, gdb)
- 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, and strict CI/CD validation prior to production rollouts; embed operability standards into service design from the start
Zscaler is a NASDAQ-listed company pioneering security transformation in the AI era, with a Zero Trust Exchange platform protecting thousands of customers from cyberattacks and data loss. The platform is distributed across 200+ public data centers globally and thousands of private sites at the edge.
Requirements:
- US Citizenship is required (due to the nature of assigned customers)
- 3+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- 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 (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies)
- Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump
Preferred Qualifications:
- 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 (Temporal or similar)
- Deep experience with Prometheus/OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis
