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About the position
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 Metrics team, a core component of this platform, is responsible for delivering a cutting-edge, end-to-end distributed metrics solution designed to operate at Uber's scale. Our system ingests over 5 billion metrics per second and handles over 25K queries per second, with cardinality up to 500K. 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.
Responsibilities
- Design system architecture, own key components to deliver a centralized metric system for Uber.
- Join on call rotation, driving continuous improvements on system availability, scalability, performance and efficiency.
- 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.
Requirements
- BS or higher degree in Computer Science, or a related technical discipline, or equivalent experience.
- Proficient in one or more backend languages, like Java, Go, C/C++, C#, with the ability to pick up new ones quickly.
- Strong problem solving skills, with relevant experience in designing and implementing large scale distributed backend services.
Nice-to-haves
- Proven record of building and operating highly reliable distributed systems at scale.
- Experience with OpenTelemetry, Prometheus, Influx and/or building and operating monitoring infrastructure at large scale.
- Under the hood experience with Apache Lucene, ElasticSearch, OpenSearch and other Search technologies is a big plus.
- Batch and stream data process pipeline experience is a plus.
