Principal Site Reliability Engineer, Compute Infrastructure

Palo Alto Networks • Office - USA - CA - Headquarters, CA

9d • $175,400 - $283,800 • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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 non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Associate degree