Remote Senior Principal Architect - Infra & Production

Palo Alto Networks, Inc.; San Francisco (CA); Remote; USD 184,000 - 297,000; Full time

Job summary

Palo Alto Networks, Inc. is seeking an experienced Infrastructure Engineer for Chronosphere, the observability platform, to optimize and battle-test all components of the platform.

The role focuses on building internal tools to improve developer productivity and scale globally. You will own projects from inception to delivery, mentor peers, and work across Go, Kubernetes, GCP, and AWS to drive high-scale distributed systems with Linux foundations.

Qualifications

• 10+ years in infrastructure or production-focused engineering roles.
• Ability to own projects from inception to delivery.
• Experience building high-scale systems and sophisticated application services.
• Experience operating Kubernetes clusters.
• Experience with Go, C++, Java, C#, or Rust.
• Experience with monitoring and alerting.
• Thorough experience with Linux.

Responsibilities

• Solve complex distributed systems problems at the largest scales in the world.
• Scale our infrastructure and architecture to meet the needs of the platform and its engineers.
• Use Go to build highly scalable and reliable distributed systems.
• Build on top of our architecture stack using Kubernetes, GCP, and AWS.
• Operate large-scale distributed systems globally.
• Own projects from inception to delivery, including planning, requirements gathering, and collaboration with Product.
• Mentor and up-level peers, helping junior engineers grow.

Skills

Go

Mentoring peers

Project ownership

Distributed systems

Linux

Tools

Kubernetes

GCP

AWS

Monitoring & alerting

C++

Java

C#

Rust

Job description

Palo Alto Networks, Inc. is seeking an experienced Infrastructure Engineer for Chronosphere, the observability platform, to optimize and battle-test all components of the platform.

The role focuses on building internal tools to improve developer productivity and scale globally. You will own projects from inception to delivery, mentor peers, and work across Go, Kubernetes, GCP, and AWS to drive high-scale distributed systems with Linux foundations.