Staff Software Engineer, Metrics and Logging

## Responsibilities - 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. ## Requirements - 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. ## Nice to Have - N/A ## Benefits - Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).