Software Engineer, Observability

Software Engineer, Observability Department: Engineering Team: Backend Location: San Francisco, United States Type: Full-Time **About the Role** At Uber, we provide a centralized, reliable, and interactive observability data platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale. The Logging team, a core component of this platform, is responsible for delivering a cutting-edge centralized Logging Platform at Uber's scale. Our system ingests over 35 million log events per second in near real time and handles over 18 petabytes of data available for search, over 20 trillion records. As Uber continues to grow, our system evolves to meet increasing demands. Beyond solving the inherent challenges of large-scale distributed systems—such as scalability, availability, performance, and efficiency—we also focus on providing intelligent insights that identify issues before they impact our customers, ensuring a seamless experience for millions of users worldwide. We are a dynamic, agile team with members from diverse backgrounds. We dream big, aim high, and execute with precision. Join us to tackle challenging large-scale distributed system problems and raise the bar of observability for Uber. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Design system architecture, own key components to deliver a centralized logging system for Uber. 2. Join on call rotation, driving continuous improvements on system availability, scalability, performance and efficiency. 3. Collaborate with other infrastructure teams, production engineer team and product manager to drive adoption and best practices, and to design and implement high impact, cross-product features. \-\-\-\- Basic Qualifications ---- 1. BS or higher degree in Computer Science, or a related technical discipline, or equivalent experience. 2. Proficient in one or more backend languages, like Java, Go, C/C++, C#, with the ability to pick up new ones quickly. 3. Strong problem so