Note: The job is a remote job and is open to candidates in USA. Zscaler accelerates digital transformation to ensure customers can be more agile, efficient, resilient, and secure. They are looking for a Staff Site Reliability Engineer to manage the reliability of their large-scale cloud services and ensure the availability and performance of their production data center services.
Responsibilities
- Own the reliability of a large-scale cloud service (Linux/BSD, bare metal, Kubernetes, custom load balancing, SD-WAN) by partnering with Engineering and Network teams to define requirements early, conduct operability reviews, and contribute code/design docs for platform resilience
- Develop and operate end-to-end observability (metrics/logs/traces, dashboards, alerting) and incident tooling to manage SLOs/error budgets, reduce noise, and improve system detection and diagnosis
- Participate in an on-call rotation to lead full-cycle incident response; perform deep cross-stack troubleshooting (OS, networking, distributed systems, packet captures, core dumps) to drive permanent software fixes and codify learnings into runbooks and tests
- Build and maintain everything-as-code for fleet and service lifecycle, driving provisioning, configuration, release automation, canary deployments, and complex rollout/rollback workflows
- Continuously improve platform hygiene through consistent OS/app upgrades, dependency/vulnerability patching, capacity and performance tuning, and strict CI/CD validation prior to production rollouts
Skills
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- US Citizenship is required (due to the nature of assigned customers)
- 5+ years industry experience in software engineering, infrastructure software, and/or platform engineering
- Proficiency in at least one programming language (such as Python, Bash, or Go) with demonstrated ability to write production-quality code (testing, code reviews, CI, maintainable design, scripting for diagnostics)
- Strong Linux/Unix systems fundamentals (process/memory, filesystems, networking stack basics, debugging/perf troubleshooting) and solid understanding of networking protocols and components (e.g., HTTP, DNS, TCP/IP, ICMP, OSI model, subnetting, and load balancing/traffic concepts)
- Proven experience operating production services (including incident response, troubleshooting, reducing toil) and managing BSD in production to drive systemic fixes through platform engineering
- Experience leveraging AI/ML frameworks or AIOps tools to build predictive anomaly detection, automate root-cause analysis, and optimize large-scale infrastructure reliability
- Proven expertise in operating Kubernetes at scale
- Deep experience with the Prometheus/OpenTelemetry ecosystems, including instrumenting golden signals, defining SLOs, and performing alert tuning to ensure high-availability environments
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Company Overview