> Markdown version of [/jobs/ext/4511411-principal-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4511411-principal-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Platform Engineer - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Salary:** $183,600.0 - $297,000.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Amazon Web Services, Applications Architecture, BigTable, BigQuery, Configuration Management, Continuous Integration, Data Systems, DevOps, Distributed Systems, Github, Python (Programming Language), Network Troubleshooting, Linux System Administration, MongoDB, Systems Development Life Cycle, RabbitMQ, Reliability Engineering, Vault (Revision Control System), Google Cloud, Gitlab, AI Platforms, Kubernetes, Information Technology, Palo Alto Networks, Apache Kafka, Terraform, Oracle Cloud Infrastructure, Docker, Golang, Programming Languages - **Published:** November 2, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3487409056&tx=TT434TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience * Expertise in configuration management with a framework such as Kubernetes, Helm, Terraform, or Kustomize * Expertise in managing distributed and autoscaled applications in Kubernetes clusters * Experience in Production Engineering, DevOps, or Site Reliability * Expertise in the public cloud (GCP, AWS, or OCI) * Strong Linux administration, internals, and network troubleshooting * Proficiency with programming languages like Python, Golang, or Rust to develop applications and tooling to manage advanced data systems and automate complex tasks * Experience with CI/CD pipelines, GitLab and GitHub preferred * Ability to diagnose and troubleshoot complex distributed systems handling high-volume transactions * Excellent written and verbal communication, able to collaborate and rally support * Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive * Passion for infrastructure and monitoring as code * Ready to understand and dissect new technology stacks quickly The Team Our engineering team is at the core of our products - connected directly to the mission of preventing cyberattacks. We are constantly innovating - challenging how we and the industry think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environmen t. ## Description Palo Alto Networks runs a large hybrid infrastructure and is one of the largest GCP customers. As a Principal AI Platform Engineer, you will be part of a team building tooling to help manage this infrastructure and improve overall efficiency and performance. This includes automation, architecture design, monitoring, troubleshooting, security, and reliability. Most importantly, we leverage AI and devops ontology to empower our platform. Our stack includes Kubernetes, Docker, GCP, AWS, Terraform, Kafka, Vault, Gitlab, Pub/sub, Bigtable, Memorystore, Bigquery, RabbitMq, MongoDB, Python, and Go. We don't expect you to know all these, but we do expect you to learn the ones needed for this role. Your Impact * Adopter of AI-SDLC * Contribute to the success of the DevOps organization * Develop expertise in new technologies * Work with developers, researchers, data scientists, and security experts * Design, build, and operate reliable, secure Cloud infrastructure * Ensure that applications are production-ready, scalable, and reliable * Develop tools and automation frameworks * Automate robust deployment of robust services * Orchestrate end-to-end monitoring and alerting * Participate with Dev and DevOps teams in the on-call rotation * Lead root cause analysis of critical business and production issues * Mentor and champion DevOps culture * Participate in design reviews