Principal Site Reliability Engineer - AI Security Infra

Palo Alto Networks, Inc.; Santa Clara (CA); On-site; USD 156,000 - 253,000; Full time

Job summary

Palo Alto Networks is seeking Sr. Principal/Principal SRE/DevOps Engineers to join the AIRS team, pioneering a state-of-the-art AI security platform. You will design, build, and maintain scalable, secure infrastructure powering AI models, data pipelines, and distributed backends across global regions.

The role focuses on reliability, observability, and automation in a cutting-edge security context. You will lead architecture of Kubernetes clusters, CI/CD pipelines, and IaC tooling, enabling

Qualifications

• BS/MS in Computer Science/Engineering or equivalent with 8+ years in DevOps or SRE.
• Deep Kubernetes (GKE) and container runtime experience.
• Extensive ArgoCD and GitLab CI/CD production experience.
• IaC with Terraform or similar tooling proficiency.

Responsibilities

• Architect and maintain high-scale Kubernetes clusters on Google Cloud Platform.
• Build, scale, and optimize CI/CD pipelines and IaC deployments.
• Design and implement observability dashboards and alerting frameworks.
• Collaborate with Data teams to optimize multi-region data pipelines.
• Drive SRE practices to ensure reliability and security of workloads.
• Mentor junior engineers and drive best-practice automation.

Skills

Kubernetes expertise (GKE)

CI/CD pipelines

GitOps

Cloud infrastructure

Python/Go scripting

Education

BS/MS in CS/CE or equivalent

Tools

ArgoCD

GitLab CI/CD

Terraform

Prometheus

Grafana

Bigtable / BigQuery (GCP)

Job description

Palo Alto Networks is seeking Sr. Principal/Principal SRE/DevOps Engineers to join the AIRS team, pioneering a state-of-the-art AI security platform. You will design, build, and maintain scalable, secure infrastructure powering AI models, data pipelines, and distributed backends across global regions.

The role focuses on reliability, observability, and automation in a cutting-edge security context. You will lead architecture of Kubernetes clusters, CI/CD pipelines, and IaC tooling, enabling