Senior Staff DevOps Engineer

Your Career

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 DevOps 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/DevOps.

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/DevOps 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 (e.g., 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 SRE/DevOps on best practices in infrastructure orchestration, production troubleshooting, and AI-augmented operations
• Represent SRE/DevOps in design reviews and work cross-functionally with engineering teams on operational readiness

The Team

We're not your ordinary Infrastructure team. We're a diverse group of engineers who challenge the status quo to build platforms that protect Palo Alto Networks and our customers at global scale. Driving innovation on the SRE/DevOps team of the fastest-growing cybersecurity company is a once-in-a-lifetime opportunity. You'll be joined by the brightest minds in technology, and you'll have the freedom to push the boundaries of what AI can do for reliability engineering.

Your Experience

• 5+ years of experience in DevOps, 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, GitLab, and Artifactory
• Strong fundamentals in 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 (e.g., 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, BigQuery, etc.) — is a plus