Databricks is looking to build scalable and efficient logging solutions that power observability across all Databricks services, enabling engineers to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.
Requirements
- 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.
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.
Other
- BS (or higher) in Computer Science, or a related field.
- U.S. government license for access to export-controlled technology or source code may be required.
- Compliance with Databricks' commitment to diversity and inclusion.
- Adherence to Databricks' benefits and perks, including comprehensive benefits and perks that meet the needs of all employees.
