Principal Engineer Software - Developer Experience, Backend (Chronosphere)

Palo Alto Networks•Boston, MA

6d•$156,400 - $253,000•Remote

About The Position

Chronosphere, a Palo Alto Networks company, is an observability platform that helps customers reduce complexity and costs and resolve issues faster. The company builds customer-facing observability solutions that turn large streams of telemetry into actionable, AI-driven intelligence and insights. Its platform supports real-time troubleshooting and system reliability through guided troubleshooting, contextualized data, and collaboration tools. The Principal Engineer Software will help shape the technical direction and architecture of a rapidly scaling platform. The role focuses on building backend capabilities and workflows that help customers understand telemetry and gain business insights, including innovative uses of AI infrastructure such as large language models and machine learning. The engineer will work closely with technical teammates and customers, improve the performance, reliability, observability, and cost efficiency of distributed systems, and mentor engineers while maintaining engineering standards. This is a remote-first role based in the United States.

Requirements

Strong experience in one or more backend languages, such as Go, Java, Python, or Rust.
Experience using AI coding assistants, such as Cursor or Claude, in day-to-day software development.
Experience building and operating highly available systems in production.
Experience working with cloud infrastructure such as AWS, GCP, or Azure.
Experience designing APIs for scale, including REST, gRPC, or GraphQL.
Experience working effectively with cross-functional partners.
Experience owning and executing projects from inception to delivery.
Ability to work with a high degree of autonomy and good judgment about when to proceed and when to ask for help.
Collaborative working style and willingness to build and maintain a positive, supportive environment.
Ability to operate effectively in a remote-first environment.

Responsibilities

Directly impact how customers leverage observability for their infrastructure and services architecture.
Use AI infrastructure, including large language models and machine learning, to build innovative customer capabilities.
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 the company's system observability using its own product.
Improve the performance, reliability, and cost efficiency of distributed systems.
Mentor engineers and help maintain engineering standards.
Own the technical roadmap and ship features that improve team collaboration during mission-critical moments.