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Principal Cloud Infrastructure Engineer; Advanced Threat Protection

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Palo Alto Networks, Inc.
Full Time position
Listed on 2026-06-29
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Principal Cloud Infrastructure Engineer (Advanced Threat Protection)

Job Summary:

Palo Alto Networks is at the forefront of cloud-native infrastructure, where reliability, scale, and intelligent automation define the future of operations. As a Senior Site Reliability Engineer, you will design and operate the platforms that power our applications across GCP, AWS, and global data centers - and you'll push the boundary of what's possible by leveraging AI and machine learning to transform how we approach SRE.

This isn't just about keeping the lights on. You'll build intelligent systems that predict incidents before they happen, automate root cause analysis, and continuously optimize our infrastructure. You'll be a critical bridge between engineering and our Infrastructure Platform, combining deep SRE expertise with AI-driven automation to deliver unprecedented levels of reliability and operational efficiency.

If you're excited about applying AI to real-world infrastructure challenges - and you thrive in an environment where automation isn't just a nice-to-have but a core philosophy - this is your next career.

Your Impact
  • Design, build, and operate cloud infrastructure that enables reliable, rapid deployment of microservices with resilient operations and effective monitoring
  • Leverage AI/ML to automate incident detection, root cause analysis, and remediation - reducing toil and accelerating mean time to resolution
  • Build and integrate AI-powered tools (LLM-based agents, AIOps platforms) into SRE workflows for intelligent alerting, log analysis, and capacity planning
  • Write automation code for provisioning and operating infrastructure at massive scale
  • Develop self-healing systems that can automatically detect anomalies, diagnose issues, and take corrective action with minimal human intervention
  • Work with development teams to ensure applications are production-ready, scalable, and reliable from the ground up
  • Identify and drive opportunities to improve automation for code deployment, management, and observability of application services
  • Establish end-to-end monitoring and alerting on all critical components, incorporating AI-driven anomaly detection and predictive analytics
  • Participate in the on-call rotation supporting the platform and production applications
  • Lead root cause analysis of critical business and production issues, building runbooks and automation to prevent recurrence
  • Mentor other SREs on best practices in infrastructure orchestration, production troubleshooting, and AI-augmented operations
  • Represent SRE in design reviews and work cross-functionally with engineering teams on operational readiness
Qualifications
  • 7+ years of experience in Dev Ops, Site Reliability, or infrastructure engineering
  • Expertise in multi-cloud environments - strong hands-on experience with GCP, AWS, and familiarity with OCI (Oracle Cloud Infrastructure)
  • Experience designing and operating infrastructure across multiple cloud providers, including networking, identity management, and cross-cloud connectivity
  • Expertise in Infrastructure as Code with tools such as Terraform, Ansible
  • Strong proficiency in Python and shell scripting for automation
  • Strong experience with Linux and distributed systems handling high-volume transactions
  • Familiarity with CI/CD pipelines, Git Lab, and Artifactory
  • Strong fundamentals in HTTP, web servers, and networking
  • BS or MS in Computer Science, a related field, or equivalent professional experience
  • Excellent problem solving, critical thinking, communication, and teamwork skills
  • Self-disciplined, self-managed, self-motivated with a strong sense of ownership, urgency, and drive
  • Experience applying AI/ML to operational workflows (AIOps, intelligent alerting, automated remediation, or LLM-powered tooling) is a strong plus
  • Experience with cloud compliance frameworks (FedRAMP, IL5) and operating in regulated environments is a plus
  • Experience building and managing large database systems - relational (MySQL, PostgreSQL) and non-relational (Redis, Big Query, etc.) - is a plus
Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for…

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