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# Principal Engineer - Platform Engineer

- **Company:** Palo Alto Networks
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $183,600.0 - $297,000.0
- **Contract:** Permanent contract
- **Skills:** Bash Shell, Big Data, BigTable, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Engineering, Computer Programming, Computer Engineering, Continuous Delivery, Continuous Integration, Data as a Services, DevOps, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Network Security, Machine Learning, Performance Tuning, Reliability Engineering, Prometheus, System Programming, Data Processing, Scripting, Google Cloud, Cloud Platform System, Cloud Monitoring, Istio, Delivery Pipeline, Grafana, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Terraform, Data Pipelines, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_6d923fb7e1ccf74a10d7eb74965b82ec

## About the Role

* Education & Experience: BS/MS in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience) with 5+ years of professional experience in DevOps, Site Reliability Engineering (SRE), or Cloud Platform Engineering.
 * Orchestration & Containers: Deep, hands-on expertise with Kubernetes (GKE), container runtime environments, and service mesh architectures.
 * GitOps & CI/CD Pipelines: Extensive production experience with ArgoCD for continuous delivery and GitLab CI/CD for automating complex software delivery pipelines.
 * Infrastructure-as-Code: Proven proficiency in managing production cloud infrastructure using Terraform or similar IaC tools., * GCP Data Infrastructure: Direct experience administering and performance-tuning GCP Bigtable (BT) and GCP BigQuery (BQ) in high-throughput environments.
 * Systems Programming & Scripting: Strong programming skills in Python, Go, or Bash to automate infrastructure tasks and develop platform tooling.
 * Monitoring & Observability: Experience with cloud-native monitoring systems (such as Prometheus, Grafana, or GCP Cloud Monitoring).
 * Enterprise Security: Familiarity with cloud security compliance, IAM controls, and securing container workloads.

## Description

As a Platform Engineer on our newly forming team, you will design, build, and maintain the secure, highly available, and scalable infrastructure that powers our next-generation threat prevention platforms. You will manage our orchestration plane and automate the deployment pipelines that keep our inline engines, data pipelines, and AI models running at peak performance globally. Your work is the bedrock of our system's reliability, enabling engineering teams to deliver cutting-edge security products at scale., * Architect, configure, and maintain high-scale Kubernetes clusters on Google Cloud Platform, optimizing for performance, resource utilization, and secure network isolation.

 * Deploy, scale, and optimize core GCP managed data services, specifically Bigtable (for low-latency streaming telemetry) and BigQuery (for large-scale data analytics).
 * Design and implement robust Infrastructure-as-Code (IaC) solutions to manage global multi-region environments deterministically.
 * Build and support robust CI/CD deployment pipelines, automated validation gates, and version pinning configurations for our platform microservices.
 * Partner with Data Plane and Data Pipeline engineers to monitor, troubleshoot, and optimize resource bounds, ensuring sub-millisecond data processing stability.
 * Drive site reliability engineering (SRE) practices, establishing observability dashboards, metrics collection, and proactive alerting frameworks.