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# Principal Site Reliability Engineer, Compute Infrastructure

- **Company:** Palo Alto Networks
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $175,400.0 - $283,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Node.Js, Software Engineering, Systems Integration, TypeScript, Google Cloud, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Multi-Cloud, Gitlab-ci, Kubernetes, Automation Anywhere
- **Published:** September 30, 2026
- **Apply:** https://startup.jobs/principal-site-reliability-engineer-compute-infrastructure-paloaltonetworks-com-10231121

## About the Role

* 8+ years of experience in Cloud Software Engineering, SRE, or Distributed Systems Infrastructure (BS or equivalent).
 * Strong track record with large-scale distributed systems, multi-cloud platforms (GCP, AWS), and container orchestration.
 * Strong software engineering fundamentals in TypeScript (Node.js), Go, or Python., * At least 2+ years of hands-on experience integrating AI tools, LLMs, or predictive analytics into deployment workflows.
 * Experience interfacing with LLM APIs, vector databases, and prompt engineering for systems-level orchestration.
 * Experience designing agentic SRE workflows for autonomous incident response, automated root-cause analysis (RCA), and self-healing of distributed infrastructure.
 * Experience building intelligent delivery pipelines using GitHub Actions or GitLab CI, featuring integrated automated testing, security gates, and AI-assisted code reviews.
 * Ability to partner with Core AI/ML teams to bridge the gap between model deployment and high-availability cloud infrastructure.

## Description

As an AI-Native Reliability Software Engineer, you will build software engines, intelligent pipelines, and autonomous systems to power our cloud presence. You will design and optimize highly available cloud applications across AWS, and GCP, treating the cloud as a programmable, AI-orchestrated entity., * Lead enterprise architectural strategy across AWS, Azure, and GCP, integrating AI workflows and LLM agents for automated infrastructure refactoring.

 * Architect next-gen telemetry and secure-by-design pipelines, utilizing LLMs for dynamic IAM auditing and automated vulnerability patching at scale.
 * Spearhead the engineering of autonomous agents using Go, Python, or TypeScript to establish standards for predictive auto-scaling and self-healing systems.
 * Act as the authority for complex anomalies, leading the design of internal AI agents for autonomous root-cause analysis and defect resolution.
 * Define the technical vision for globally distributed Kubernetes fleets, championing AI-driven traffic routing and predictive capacity planning.


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