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# Staff Site Reliability Engineer (Production Engineer)- Federal

- **Company:** Zscaler, Inc.
- **Location:** San Jose, CA, United States
- **Salary:** $119,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Bash Shell, Computer Networks, Continuous Integration, Data Structures, Software Debugging, Linux, Domain Name System (DNS), Python (Programming Language), Machine Learning, Network Protocols, Performance Tuning, Reliability Engineering, Ansible, Prometheus, Service Design, Tcpdump, System Availability, Kubernetes, Production Code, Bare Metal, Golang
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/7_3E2D17EAE21C08D00FD11222424858FD

## About the Role

automation - tracking reduction as an engineering outcomeOwn end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noisePerform 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 startWho You Are (Success Profile)You thrive in ambiguity.
You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.You act like an owner.
Your passion for the mission fuels your bias for action.
You operate with integrity because you genuinely care about the outcome.
True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.You are a problem-solver.
You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.You are a high-trust collaborator.
You are ambitious for the team, not just yourself.
You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.You are a learner.
You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate.
You love what you do and you do it with purpose.What We're Looking For (Minimum Qualifications)US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platformsProven 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 automationDeep 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

## Description

This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale.What You'll Do (Role Expectations)Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teamsLead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clustersAutomate 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