AI-Driven SRE Lead: Cloud Infra & Autonomy

Palo Alto Networks; California (MO); On-site; USD 175,000 - 284,000; Full time

Job summary

Palo Alto Networks is seeking an AI‑Native Reliability Software Engineer to build intelligent cloud pipelines and autonomous systems across AWS and GCP. You will design highly available cloud applications and lead AI‑driven infrastructure initiatives.

The role emphasizes LLM‑assisted orchestration, secure‑by‑design telemetry, and predictive capacity planning, with collaboration across Core AI/ML teams and multi‑cloud ecosystems.

Qualifications

• 8+ years of experience in Cloud Software Engineering, SRE, or Distributed Systems Infrastructure.
• Strong track record with large‑scale distributed systems and multi‑cloud platforms (GCP, AWS).
• Strong software engineering fundamentals in TypeScript (Node.js), Go, or Python.

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.

Skills

TypeScript (Node.js)

Go

Python

Cloud computing

SRE

Distributed Systems

Education

BS or equivalent

Tools

Kubernetes

GitHub Actions

GitLab CI

LLM APIs

Vector databases

Job description

Palo Alto Networks is seeking an AI‑Native Reliability Software Engineer to build intelligent cloud pipelines and autonomous systems across AWS and GCP. You will design highly available cloud applications and lead AI‑driven infrastructure initiatives.

The role emphasizes LLM‑assisted orchestration, secure‑by‑design telemetry, and predictive capacity planning, with collaboration across Core AI/ML teams and multi‑cloud ecosystems.