Your Career
Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role — you'll work at the intersection of Site Reliability Engineering and AI-driven automation, pioneering the next generation of intelligent infrastructure operations.
As a Staff AI-SRE, you will be managing cloud infrastructure comprising Kubernetes (GKE) and API Gateway (Kong), while leading the adoption of AIOps, Large Language Models (LLMs), and AI-assisted workflows to transform how we build, monitor, and operate systems. You'll work alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization committed to AI-first operations.
Own and operate large-scale, global production environments with an AI focus — leveraging AIOps and machine learning to drive autonomous operations
Pioneer AI-driven automation: Implement LLM-powered runbooks, AI-assisted incident diagnostics, and intelligent alerting systems that predict issues before they impact customers
Design self-healing infrastructure: Build systems that leverage AI for automated incident remediation, anomaly detection, and proactive service monitoring
Lead architecture, deployment, and operations of Kong API Gateway infrastructure — including rate limiting, authentication, traffic management, and plugin customization
Design, deploy, and manage production-grade GKE clusters — cluster upgrades, node pool management, workload optimization, and multi-tenancy
Implement predictive scalability: Use AI modeling to forecast resource needs, prevent bottlenecks, and optimize capacity planning across GKE and cloud infrastructure
Actively monitor, investigate, and resolve P1/P2 incidents using AI-assisted diagnostics and automated playbooks
Drive end-to-end troubleshooting across complex, distributed systems — augmented by AI tools for faster root cause analysis
Implement and maintain Infrastructure as Code using Terraform and Helm — integrating with AI APIs for intent-based infrastructure management
Champion "vibe coding" workflows: Leverage AI coding assistants (GitHub Copilot, Claude) to accelerate development — focusing on high-level architecture and intent while AI handles boilerplate
Develop and maintain automation and tooling (Python, Bash, Go) with AI-augmented development practices
Create AI-powered operational runbooks using Generative AI for faster documentation, knowledge sharing, and incident response
Contribute to a culture of AI-first operational excellence in a high-scale, high-availability environment
On-call responsibilities: Daytime hours with occasional weekends and holidays (rotation-based)
Qualifications
Your Experience
6–10 years of experience in SRE/DevOps roles in production environments at scale
Linux Expert: Deep hands-on experience managing and supporting Linux (RHEL/Ubuntu) at scale, including kernel tuning and system internals
AI/ML Integration Experience: Hands-on experience or strong interest in AIOps platforms and tools
Strong hands-on experience with Kubernete
Strong hands-on experience with API Gateway (Kong)
Strong hands-on experience with GCP (required); AWS or Azure experience is a plus
Mastery of Terraform for infrastructure provisioning and management
Familiarity with CI/CD and GitOps tools (GitLab CI, GitHub Actions, ArgoCD, Flux)
Proficiency in Python for scripting, automation, and AI/ML integrations
Proven track record leading P1/P2 incident bridges and post-mortems for complex, global application stacks
Strong troubleshooting and problem-solving skills with a passion for incident handling
Fluent in security, vulnerability management, and CIS compliance
Highly responsive, proactive, and ownership-driven
The AI-First Mindset: You possess the "vibe coding" spirit — leveraging AI to solve complex problems faster without losing the critical eye of a senior engineer. You're excited about transforming traditional SRE practices with intelligent automation.
Nice to Have
Experience with Service Mesh (Istio, Kong Mesh)
Certifications: CKA, CKAD, Google Cloud Professional
Experience building or integrating with AIOps platforms
Why This Role is Different
This isn't just about keeping systems running — it's about reinventing how SRE is done. You'll be at the forefront of:
AI-Assisted Incident Response: Using LLMs to accelerate diagnostics and automate remediation
Predictive Operations: Moving from reactive firefighting to proactive, AI-driven prevention
Intelligent Automation: Building systems that learn, adapt, and self-heal
Next-Gen Tooling: Shaping how AI transforms infrastructure engineering
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
