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Staff Software Engineer, Observability

Develops observability platforms for massive-scale infrastructure, handling billions of time series and petabytes of logs across global cloud regions. Requires 7+ years experience in systems languages, distributed systems, and cloud technologies like Kubernetes.

190k – 261kMountain View, CAFullstack EngineeringOnsite7+ YOE

About the role

Impact You'll Have

  • Build next-generation observability platforms supporting billions of active time series and processing petabytes of logs daily.
  • Manage infrastructure across nearly a hundred cloud regions, enabling monitoring of product reliability.
  • Develop advanced workflows for incident diagnosis using Databricks' data intelligence platform.
  • Uplevel monitoring and reliability practices across engineering with opinionated tools for logs, metrics, alerts, dashboards, and oncall rotations.
  • Mentor engineers and foster technical excellence.

What We Look For

  • BS (or higher) in Computer Science or related field.
  • 7+ years of production-level experience in Go, Python, Java, Scala, Rust, C++, or similar.
  • Experience in software development for large-scale distributed systems.
  • Experience driving large projects involving multiple teams.
  • Experience with cloud technologies (AWS, Azure, GCP, Docker, Kubernetes).
  • Familiarity with observability infrastructure, monitoring patterns, and reliability practices.

Skills

GoPythonJavaScalaRustC++KubernetesDockerAWSAzure

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