DevOps Engineer

Job summary

Palo Alto Networks is seeking a high-level DevOps Platform Engineer to lead the evolution of their Multi-Cloud Platform. This role focuses on supporting Global Solutions Consultants and Enablement teams by leveraging AI and Public Cloud Service Providers, primarily GCP, to create a cloud-native, intelligent, and hyper-scalable ecosystem. The position aims to eliminate manual overhead and utilize AIOps to maintain a world-class training environment.

Benefits

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, as well as managing enterprise workloads across AWS and Azure.
• High-level networking and infrastructure design skills.
• experience covers a strong grasp of global load balancing configurations, Cloud Armor, cloud interconnects, and cross-cloud VPN architectures to ensure platform stability and security.
• Solid understanding of Infrastructure as Code frameworks.
• proficient in leveraging automation tools such as Terraform or Ansible to build, maintain, and manage scalable cloud infrastructure setups.
• High-level diagnostic and structural problem-solving abilities.
• strong capacity for deep-stack troubleshooting across complex environments to identify systemic platform issues and rapidly 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 Standard Operating Procedures, alongside an understanding of industry-standard project management frameworks to utilize tools like Jira and Confluence for tracking technical tasks and prioritizing platform development effectively.

Responsibilities

• Design and implement AI-driven workflows using Google Vertex AI and LLMs to automate complex environment staging, documentation generation, and user support.
• Drive the strategy and management of production environments across GCP, AWS, and Azure, ensuring architectural consistency and cross-cloud resilience.
• Build self-healing infrastructure that utilizes machine learning to analyze telemetry data, predicting and remediating failures before they impact the user experience.
• Develop sophisticated pipelines that treat infrastructure as a living software product, incorporating automated security gates and AI-assisted code reviews.
• Oversee multi-tenant cloud environments with a focus on Zero Trust IAM, global security policy enforcement, and AI-optimized cost management.

Skills

Certifications

Relocation