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DevOps Engineer

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Palo Alto Networks, Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 160000 - 220000 USD Yearly USD 160000.00 220000.00 YEAR
Job Description & How to Apply Below

Job Summary

We are seeking a high-level Dev Ops 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 & Git Ops:
    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

Your Experience
  • Solid understanding of LLMOps and AI automation pipelines. You have a track record of integrating artificial intelligence APIs like Google Vertex AI or OpenAI directly into production Dev Ops workflows, managing complex prompt structures, and assisting with model adjustments.

  • High-level scripting capability for custom tools. You possess a 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. You leverage cloud analytics frameworks like Big Query to collect, structure, and refine infrastructure telemetry data for machine learning models.

  • Solid understanding of cloud administration across public providers. You bring 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. Your 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. You are 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. You bring a 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. You are 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.

Preferred Skills
  • Plus factors for this role include experience integrating advanced progressive delivery models, such as metrics-driven canary deployments, natively within container orchestration clusters.

  • Plus factors for this role include a background in developing policy-as-code frameworks to implement zero-trust compliance standards without introducing development friction.

  • Plus factors for…

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