Principal Site Reliability Engineer (AIOps)

Palo Alto Networks•Office - USA - CA - Headquarters, CA

3d•$152,300 - $246,400•Onsite

About The Position

Palo Alto Networks is seeking a Principal Site Reliability Engineer (AIOps) to support services running on its large hybrid infrastructure, including its extensive use of GCP. The role focuses on automation, architecture, performance, metrics, troubleshooting, security, and reliability across the infrastructure. The technology stack includes Kubernetes, Docker, GCP, AWS, Ansible, Terraform, Vault, GitLab, Spinnaker, TensorFlow, Datadog, Elasticsearch, Kafka, Hadoop, MySQL, Percona, MongoDB, Python, and Go; the candidate is expected to learn the technologies needed for the role. The position will define organization-level SRE and platform engineering strategy, architect reliable multi-region and multi-cloud systems, establish reliability standards and governance, and lead platform and observability design. It will also guide incident response, influence architectural decisions across teams, mentor engineers, and advance automation and operational excellence. Palo Alto Networks describes its work model as primarily office-based, with flexibility when needed, to support collaboration and real-time problem-solving. Compensation for this non-sales role is an annual base salary range of $152,300 to $246,400, depending on qualifications, experience, and work location. Compensation may also include restricted stock units and a bonus. Immigration sponsorship is available.

Requirements

Strong experience in Infrastructure, SRE, DevOps, or Systems Engineering.
Experience building and operating large-scale distributed systems on AWS or GCP.
Proven experience driving cross-team or organization-level technical initiatives.
Strong expertise in Terraform, Helm, or similar infrastructure-as-code frameworks.
Deep experience in automation using Python, Go, or shell scripting.
Strong hands-on expertise in Kubernetes at scale.
Advanced knowledge of Linux, networking, and distributed-systems debugging.
Experience with CI/CD using GitLab and GitOps using ArgoCD.
Strong background in observability, including Prometheus, Grafana, Loki, and tracing.
Ability to lead incident management and complex production troubleshooting.
Excellent communication skills and ability to influence directors and VPs.
Demonstrated leadership in mentoring and setting engineering standards.
Strong ownership, with a focus on scalability, reliability, and long-term architecture.

Responsibilities

Define and drive organization-level SRE and platform engineering strategy.
Architect highly available, multi-region, multi-cloud systems across GCP and AWS.
Establish SLO/SLI standards, error budgets, and reliability governance across teams.
Lead the design of platform abstractions, including Terraform modules, Kubernetes platforms, and GitOps.
Drive end-to-end observability architecture and reduce MTTR at scale.
Ensure services are production-ready, scalable, secure, and cost-optimized.
Lead SEV-1 incidents, root-cause analysis, and executive-level communications.
Influence product and engineering teams on architecture and reliability decisions.
Mentor senior engineers and serve as a technical authority across organizations.
Drive automation, self-service platforms, and operational excellence.