Principal Engineer Software - Storage (Chronosphere)

Palo Alto Networks•Burbank, CA

1d•Remote

About The Position

Chronosphere, a Palo Alto Networks company, is the observability platform built for control in the modern, containerized world. Chronosphere empowers customers to focus on the data and insights that matter by reducing complexity, optimizing costs, and remediating issues faster. Chronosphere reduces data volumes and associated costs by 84% on average while saving developers thousands of hours. Recognized as a leader by major analyst firms, Chronosphere is trusted by the world's most innovative brands, including DoorDash, Affirm, and Zillow. We are looking for an experienced product driven engineer to help our customers monitor, troubleshoot, and optimize their systems at scale. Our platform ingests and analyzes high-volume telemetry data — metrics, logs, traces, and events — enabling our customers to understand system behavior, improve reliability, and reduce MTTR across modern cloud-native environments. We’re looking for a senior engineer who can help design and build the core systems that power our observability platform. You’ll work on highly scalable distributed systems that ingest, store, query, and process massive volumes of telemetry data in near real time. This role requires strong systems thinking, API design skills, and experience building reliable systems.

Requirements

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)
A strong sense of ownership and can independently own projects from inception to delivery
An effective collaborative working style. We’re a small team working in a rapidly evolving space, and we’re looking for people that will help build a positive, supportive environment

Responsibilities

Design and build scalable backend services that process high-volume telemetry data
Develop systems for ingestion, storage, indexing, and querying of time-series and event data
Improve performance, reliability, and cost efficiency of distributed systems
Collaborate with frontend teams to design clean, efficient APIs
Contribute to data modeling strategies for high-cardinality observability workloads
Participate in architecture reviews and technical design discussions
Improve system observability (we use our own product heavily) and reliability
Mentor engineers and help raise engineering standards