Principal IT Software Engineer

Palo Alto Networks

Actively hiring Posted today Verified listing
Santa Clara, CA Posted 1 day ago $167,000$270,500 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $219k
$128k most similar roles pay here $286k

This role pays more than 79% of similar roles. Most pay $162,687–$214,500 — the shaded band above. At the midpoint, this role pays about $219k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 31 open roles on FindRole.

Listed pay typically runs $155,000–$251,000 across 29 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR

As a Principal IT Software Engineer in our cutting-edge cloud engineering team, you will design and develop AI-driven software architectures that enable autonomous systems and intelligent pipelines across AWS, Azure, and GCP. Your daily tasks include architecting scalable multi-cloud infrastructure using Pulumi or Terraform, integrating custom LLM agents for predictive auto-scaling, and implementing next-gen observability frameworks like OpenTelemetry with AI anomaly detection. You will also optimize Kubernetes clusters and manage complex incident responses by training an internal On-Call AI Agent to perform automated Root Cause Analysis. The role requires expertise in TypeScript/Node.js, Go, or Python, along with a deep understanding of multi-cloud environments, Kubernetes, and CI/CD pipelines featuring AI-assisted code reviews. Ideal candidates have 6+ years of experience in Cloud Software Engineering or SRE, including hands-on work with LLMs and predictive analytics in large-scale distributed systems.

What you'll do

  • Design and maintain scalable cloud systems across AWS, Azure, and GCP using AI-driven tools.
  • Engineer autonomous agents for complex provisioning and predictive auto-scaling in multi-cloud environments.
  • Develop machine learning models to optimize real-time resource allocation and reduce cloud costs.
  • Implement advanced observability frameworks with AI anomaly detection for infrastructure security.
  • Manage Kubernetes clusters and optimize resource allocation using AI-driven traffic routing.
  • Design and train an internal "On-Call AI Agent" for automated Root Cause Analysis and incident resolution.

What we're looking for

  • 6+ years of experience in Cloud Software Engineering, SRE, or Distributed Systems Infrastructure.
  • Deep proficiency in at least two major cloud platforms (AWS, Azure, GCP) with strong architectural understanding.
  • Expert-level knowledge of Kubernetes and cloud-native networking (CKA preferred).
  • Strong software engineering fundamentals in TypeScript/Node.js, Go, or Python.
  • Experience integrating AI tools, LLMs, and predictive analytics into deployment workflows.
  • Proven track record of architecting and operating large-scale distributed systems.

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