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# Principal Engineer Software - Developer Experience, Backend (Chronosphere)

- **Company:** Palo Alto Networks
- **Location:** Santa Clara, CA, United States (Remote available)
- **Salary:** $147,000.0 - $237,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Cursor (Graphical User Interface Elements), Distributed Systems, Python (Programming Language), Software Engineering, AI Infrastructure, Rust (Programming Language), Google Cloud, Large Language Models, Backend, Graphql, Restful APIs, Grpc, Golang
- **Published:** September 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2vlxac34

## About the Role

We are looking for experienced engineers with a strong product sense who asks "why" as often as "how". You'll use systems thinking to design workflows that surface key business insights. This role is perfect for someone who wants to own the technical roadmap and ship features that redefine how teams collaborate during mission-critical moments., * Strong experience in one or more backend languages (e.g., Go, Java, Python, Rust)

 * Experience using AI coding assistants (e.g., Cursor, Claude) as part of day-to-day software development
 * Experience building and operating highly available systems in production
 * Experience working with cloud infrastructure (AWS, GCP, Azure)
 * Experience designing APIs (REST, gRPC, GraphQL) for scale
 * Experience working effectively with cross functional partners
 * Experience owning and executing projects from inception to delivery
 * Experience working with a high degree of autonomy with good judgement on when to push forward and when to ask for help
 * An effective collaborative working style and willingness to build and maintain a positive and supportive environment
 * An ability to operate effectively in a remote first environment

## Description

* Directly impact how customers leverage observability for their infrastructure and services architecture
 * Leverage AI infrastructure like LLMs, ML to build innovative capabilities for our customers
 * Design experiences and systems for contextualizing large amounts of telemetry data
 * Help shape the architecture of a rapidly scaling platform
 * Collaborate with deeply technical teammates and customers
 * Improve our own system observability (we use our own product heavily)
 * Improve performance, reliability, and cost efficiency of distributed systems
 * Mentor engineers and help maintain our engineering standards


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