Palo Alto Networks
Principal Engineer Software, Dev & Production Infrastructure (Chronosphere)
$147K–$238K
San Francisco, United States of America +6 · Yes · Principal · Full-time · Posted Jul 15, 2026
- Location
- San Francisco, United States of America
Denver, United States of America
Austin, United States of America
Jacksonville, United States of America
Boston, United States of America
Seattle, United States of America
New York City, United States of America - Experience
- 8–10+ years of relevant experience; 7+ years in at least one backend language; 5+ years in cloud-native and distributed systems.
- Visa sponsorship
- Immigration sponsorship: Yes
About the job
Lead infrastructure engineering for Chronosphere’s observability platform, focusing on production reliability and scale, developer infrastructure, or both.
What you'll do
- Scale and optimize global production infrastructure and build resilient backend services, monitoring, and operational tools.
- Build developer platforms, dynamic testing environments, CI/CD pipelines, and Terraform-managed infrastructure to improve engineering velocity and reliability.
- Lead large technical initiatives, define platform standards and architectures, and mentor engineers across the organization.
What they ask for
- 7+ years of experience in at least one backend language.
- 5+ years building and debugging distributed, cloud-native systems, with AWS or GCP and Kubernetes experience.
- Deep knowledge of Linux internals, process management, resource isolation, and networking protocols.
- Track record of estimating complex work, debugging distributed architectures using logs and traces, and identifying design edge cases.
Nice to have
- Experience or active interest in AI coding assistants and agentic engineering workflows.
- Engagement or experience with open-source communities.
Pay
$147,000.00 - $237,500.00/yr (base salary; USD)
Tools
Go, Python, Java, C++, Rust, AWS, GCP, Kubernetes
AI focus
Preferred experience or interest in using AI coding assistants and agentic platforms, including developing alongside autonomous agents, multi-agent frameworks, or LLM-driven orchestration tools.
Model-written summary · the original posting is authoritative