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# Principal Engineer Software - Storage, Integrations (Chronosphere)

- **Company:** Palo Alto Networks
- **Location:** Bridgeport, CT, United States
- **Experience:** Expert
- **Salary:** $156,400.0 - $253,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Cursor, Software Debugging, Distributed Systems, Python (Programming Language), Software Engineering, Systems Integration, Rust (Programming Language), Google Cloud, Mttr, Indexer, AI Coding Agents, Backend, Build Management, Graphql, Front End Software Development, Claude, Api Design, Restful APIs, Grpc, Golang
- **Published:** October 22, 2026
- **Apply:** https://dejobs.org/x/x/BBA42EC4C4B249709024BF69FF59B066/job/

## About the Role

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., * 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

## Description

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., * Work on technically challenging problems with some of the largest distributed systems in the world

 * Directly impact how engineering teams debug production systems
 * Help shape the architecture of a rapidly scaling platform
 * Collaborate with deeply technical teammates and customers
 * Operating systems that process large-scale real-world production traffic

What you will achieve

 * 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