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# Principal Site Reliability Engineer (CIPE)

- **Company:** Palo Alto Networks
- **Location:** Santa Clara, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Continuous Integration, Cursor (Graphical User Interface Elements), Software Debugging, Github, Python (Programming Language), Pair Programming, Performance Tuning, Role-Based Access Control, Reliability Engineering, Software Systems, System Programming, Systems Integration, System Availability, Delivery Pipeline, Gitlab-ci, Kubernetes, Prisma Cloud Platform, Jenkins, Vulnerability Analysis
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5a1971da8ec4c506

## About the Role

Do you have experience in Vulnerability scanning?, Your Experience

Kubernetes Mastery: Expert-level experience managing production K8s workloads (preferably within GKE, but will also consider EKS).

Deep understanding of Networking, Storage, and RBAC.

CI/CD & GitOps: Hands-on expertise with ArgoCD and modern pipeline runners (GitHub Actions, GitLab CI, or Jenkins).

Programming: Proficient in Python for systems programming and automation.

Security Mindset: Proven experience integrating security scanning and compliance checks within a containerized environment.

Modern Workflow: Experience (or strong desire) using AI-pair programming tools like Cursor and Claude to multiply personal and team productivity.

## Description

As a Principal Site Reliability Engineer, you will serve as the technical authority for our cloud-native infrastructure. You aren't just managing servers; you are architecting the reliability, scalability, and security of a massive Kubernetes ecosystem. We are looking for a visionary who balances deep systems expertise with a modern, AI-augmented development workflow. You will lead the evolution of our GKE (Google Kubernetes Engine) environment, championing GitOps best practices and integrating advanced security protocols directly into our delivery pipelines.

Your Impact

Infrastructure Leadership: Architect and oversee large-scale Kubernetes clusters in GKE, ensuring high availability, performance tuning, and cost optimization.

GitOps & Orchestration: Design and refine complex CI/CD lifecycles using ArgoCD, moving toward a fully declarative infrastructure-as-code model.

Security Engineering: Implement and manage security scanning tools (e.g., Prisma Cloud, Snyk, or GKE native security) to ensure container integrity and shift-left security compliance.

Automation & Tooling: Develop sophisticated automation scripts and internal tools using Python to eliminate manual toil and improve system observability.

AI-Driven Development: Lean into the future of engineering by utilizing Cursor and Claude to accelerate coding, debugging, and documentation tasks.

Incident Management: Act as a final escalation point for complex infrastructure outages, conducting blameless post-mortems to drive systemic improvements.


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