DevOps Engineer

Palo Alto Networks

DevOps Engineer responsible for AI-driven workflows and managing cloud environments at Palo Alto Networks. Focus on maintaining a hyper-scalable ecosystem primarily on Google Cloud Platform.

Posted 6/12/2026full-timeRemote • California, Colorado, Illinois, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AnsibleAWSAzureBigQueryCloudGoGoogle Cloud PlatformPythonTerraform

About the role

Key responsibilities & impact

Design and implement AI-driven workflows using Google Vertex AI and LLMs.
Drive the strategy and management of production environments across GCP, AWS, and Azure.
Build self-healing infrastructure utilizing machine learning for predictive maintenance.
Develop sophisticated CI/CD pipelines with automated security gates and AI-assisted code reviews.
Oversee multi-tenant cloud environments with a focus on Zero Trust IAM and AI-optimized cost management.

Requirements

What you’ll need

Solid understanding of LLMOps and AI automation pipelines.
High-level scripting capability for custom tools using Python or Go.
Solid understanding of data science principles and analytics, leveraging cloud analytics frameworks like BigQuery.
Solid understanding of cloud administration across public providers, especially in GCP, AWS, and Azure.
High-level networking and infrastructure design skills covering global load balancing configurations, Cloud Armor, and more.
Solid understanding of Infrastructure as Code frameworks using Terraform or Ansible.
High-level diagnostic and structural problem-solving abilities for troubleshooting complex environments.
Solid communication and cross-functional collaboration skills, experienced in translating technical metrics for leadership.

Benefits

Comp & perks

A description of our employee benefits may be found here.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-driven workflowsGoogle Vertex AILLMsGCPAWSAzureCI/CD pipelinesmachine learningInfrastructure as CodeTerraform

Soft Skills

problem-solvingcommunicationcross-functional collaboration