RDQ426R299 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started
The Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale
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