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 solving skills, with relevant experience (3+ years) in designing and implementing distributed backend services ---- Preferred Qualifications ---- 1. Proven record of building and operating highly reliable distributed systems at scale 2. Batch and stream data processing experience is a big plus 3. Experience with OpenTelemetry, Prometheus, Influx and/or building and operating monitoring infrastructure. 4. Experience building user interfaces with TypeScript is a plus 5. Under the hood experience with Apache Lucene, ElasticSearch, OpenSearch and other Search technologies is a plus For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits . Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form . Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.