Sr. Staff IT Software Engineer, AI

Palo Alto Networks

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $145,000–$235,500 / yr
Posted: today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k

This role $190k

$132k most similar roles pay here $265k

This role pays less than 65% of similar roles. Most pay $167,550–$236,225 — the shaded band above. At the midpoint, this role pays about $190k versus about $202k 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 29 open roles on FindRole.

Listed pay typically runs $149,500–$242,500 across 26 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Sr. Staff IT Software Engineer, AI

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As a Senior Staff IT Software Engineer in AI, you will join a forward-thinking team to design and develop intelligent cloud infrastructure and software systems across AWS, Azure, and GCP. Your daily tasks include architecting scalable multi-cloud environments using tools like Pulumi and Terraform, integrating AI-driven automation for predictive auto-scaling and self-healing systems, and leveraging machine learning models to optimize resource usage in real-time. You will also implement advanced observability frameworks with OpenTelemetry and Prometheus, ensuring robust security through automated LLM-based audits. Expertise in TypeScript (Node.js), Go, or Python, along with Kubernetes management and CI/CD pipeline integration, is essential for this role. Ideal candidates have a background in Cloud Software Engineering, SRE, or Distributed Systems Infrastructure, with experience integrating AI tools into deployment workflows to solve complex business problems at scale.

Skills

AWS Azure GCP Pulumi Terraform TypeScript Node.js Go Python LangChain CrewAI OpenTelemetry Prometheus Kubernetes EKS AKS GKE GitHub Actions GitLab CI Linux Distributed Systems Asynchronous Programming CI/CD

What you'll do

Design and maintain scalable cloud systems across AWS, Azure, and GCP using AI-driven tools.
Engineer autonomous agents to orchestrate complex provisioning and predictive auto-scaling in multi-cloud environments.
Develop machine learning models for real-time resource optimization and cost management in cloud services.
Implement advanced observability frameworks with AI anomaly detection for enhanced security and monitoring.
Optimize Kubernetes clusters for production use, focusing on AI-driven traffic routing and capacity planning.

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) and Kubernetes.
Hands-on experience integrating AI tools, LLMs, and predictive analytics into deployment workflows.
Strong software engineering skills in TypeScript/Node.js, Go, or Python with LLM API interfacing.
Expertise in building intelligent CI/CD pipelines featuring automated testing and security gates.
Proven ability to architect and operate large-scale, high-throughput distributed systems.

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