DevOps Engineer

Job Summary We are seeking a high-level DevOps Platform Engineer to lead the evolution of our Multi-Cloud Platform. This role is dedicated to supporting Global Solutions Consultants and Enablement teams by leveraging Artificial Intelligence (AI) and Public Cloud Service Providers (CSPs), focusing on creating a cloud-native, intelligent, and hyper-scalable ecosystem—primarily centered on Google Cloud Platform (GCP)—that eliminates manual overhead and utilizes AIOps to maintain a world-class training environment. This role offers an exciting opportunity for professional development and career advancement as you enhance the team's understanding of cloud platform features and best practices. Your Impact Architectural AI Integration: Design and implement AI-driven workflows using Google Vertex AI and LLMs to automate complex environment staging, documentation generation, and user support. Multi-Cloud Ecosystem Leadership: Drive the strategy and management of production environments across GCP, AWS, and Azure, ensuring architectural consistency and cross-cloud resilience. AIOps & Predictive Maintenance: Build self-healing infrastructure that utilizes machine learning to analyze telemetry data, predicting and remediating failures before they impact the user experience. Advanced CI/CD & GitOps: Develop sophisticated pipelines that treat infrastructure as a living software product, incorporating automated security gates and AI-assisted code reviews. Cloud-Native Governance: Oversee multi-tenant cloud environments with a focus on Zero Trust IAM, global security policy enforcement, and AI-optimized cost management. Qualifications Solid understanding of LLMOps and AI automation pipelines; track record of integrating artificial intelligence APIs like Google Vertex AI or OpenAI directly into production DevOps workflows, managing complex prompt structures, and assisting with model adjustments. High-level scripting capability for custom tools; background utilizing Python or Go to construct specialized automation agents, intelligent command-line interfaces, and custom operational tools. Solid understanding of data science principles and analytics; leverage cloud analytics frameworks like BigQuery to collect, structure, and refine infrastructure telemetry data for machine learning models. Solid understanding of cloud administration across public providers; high-level experience managing environments within Google Cloud Platform, specifically with GKE, Cloud Run, and VPC Service Controls, and managing enterprise workloads across AWS and Azure. High-level networking and infrastructure design skills; strong grasp of global load balancing configurations, Cloud Armor, cloud interconnects, and cross-cloud VPN architectures. Solid understanding of Infrastructure as Code frameworks; proficiency in leveraging automation tools such as Terraform or Ansible. High-level diagnostic and structural problem-solving abilities; capacity for deep-stack troubleshooting across complex environments to identify systemic platform issues and establish operational guardrails. Solid communication and cross-functional collaboration skills; experienced at translating technical platform metrics into strategic value for leadership, leading formal root-cause analyses and documenting designs into clear SOPs, along with understanding industry-standard project management frameworks to utilize tools like Jira and Confluence. Preferred Skills Experience integrating advanced progressive delivery models, such as metrics-driven canary deployments, natively within container orchestration clusters. Background in developing policy-as-code frameworks to implement zero-trust compliance standards without introducing development friction. Relevant industry cloud certifications across GCP, AWS, or Azure, or specialized automation designations. Compensation Disclosure • $160,000.00 - $220,000.00/yr The offered compensation may also include restricted stock units and a bonus. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at View email address on click.appcast.io. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. We will not sponsor applicants for work visas for this position. #J-18808-Ljbffr