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DatabricksDatabricksMountain View, CA

Staff Software Engineer, Metrics and Logging

Designs and scales next-generation logging platform processing petabytes of logs daily for observability across Databricks services. Requires 7+ years experience in Scala/Rust/Go/etc., distributed systems, and BS in Computer Science.

190k – 261k/yr
On-site7+ YOEBackend Engineering

About the role

The impact you'll have:

  • Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily.
  • Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services.
  • Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs.
  • Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats and improving the developer experience.
  • Improve reliability and cost-efficiency by optimizing log retention, indexing, and query performance to reduce operational overhead.
  • Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.

What we look for:

  • BS (or higher) in Computer Science, or a related field.
  • 7+ years of production-level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages.
  • Deep experience in software development, in large-scale distributed systems.
  • Experience driving complex projects involving multiple teams and stakeholders.
  • Familiarity with log collection, health monitoring, and observability tools.

Skills

ScalaRustGoPythonJavaC++Distributed SystemsObservability ToolsLog CollectionHealth Monitoring

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