Senior Platform Engineer: Kubernetes, GCP & SRE

Jobs Paloaltonetworks

California (MO)

On-site

USD 184,000 - 297,000

Full time

9 days ago
Application generator

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Job summary

Palo Alto Networks is seeking a Platform Engineer to design, build, and maintain scalable, secure infrastructure powering its next-generation threat prevention platforms. You will manage the orchestration plane and automate deployment pipelines to keep inline engines, data pipelines, and AI models running globally.

Responsibilities include building robust Kubernetes clusters on GKE, deploying core GCP services, and implementing IaC, CI/CD, and observability practices to ensure reliability and

Qualifications

  • 5+ years of professional experience in DevOps, SRE, or cloud platform engineering.
  • Deep, hands-on expertise with Kubernetes (GKE) and container runtimes.
  • Experience with ArgoCD and GitLab CI/CD for complex delivery pipelines.
  • Terraform or other IaC tools for production cloud infrastructure.

Responsibilities

  • Architect and maintain high-scale Kubernetes clusters on GKE across multi-region environments.
  • Deploy and optimize core GCP data services like Bigtable and BigQuery.
  • Design and implement IaC solutions for global environments.
  • Build and support CI/CD pipelines with automated gates and version pinning.
  • Collaborate with data teams to monitor and optimize performance.
  • Establish SRE practices with observability dashboards and proactive alerts.

Skills

Kubernetes
CI/CD automation
Monitoring observability
Python scripting
Security IAM

Education

BS in Computer Science
MS in Computer Science

Tools

GKE
Terraform
ArgoCD
GitLab CI/CD
Cloud monitoring tools

Job description

Palo Alto Networks is seeking a Platform Engineer to design, build, and maintain scalable, secure infrastructure powering its next-generation threat prevention platforms. You will manage the orchestration plane and automate deployment pipelines to keep inline engines, data pipelines, and AI models running globally.

Responsibilities include building robust Kubernetes clusters on GKE, deploying core GCP services, and implementing IaC, CI/CD, and observability practices to ensure reliability and

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