Build systems that can effectively store and process terabytes of data. Work on the infrastructure that empowers millions of Yelp’s users to make the best decisions. Solve challenging problems, such as delivering scalable search and ranking capabilities across our recommendations and delivery systems to serve high-quality ads, search results, and home feed recommendations. Work closely with other software engineering teams, product managers, and data scientists to identify and use the most relevant consumer and business data. Gain expertise in cutting-edge infrastructure on large-scale search engines and advanced ranking to drive business impact. Learn the fine art of balancing scale, latency, and availability depending on the problem. Participate in a low-frequency on-call rotation.
Experience building large-scale distributed systems. Experience with one or more of the following technologies is preferred: Elasticsearch, SOLR, Apache Lucene, Apache Flink, or Kubernetes Proficiency in Java, Scala, Python, or a similar language. Understanding of systems and application design with an understanding of operational and reliability trade-offs. Solid foundation in data structures, algorithms, and complexity analysis. Exposure to cloud computing services like AWS orAzure. Clear and effective written and verbal communication skills.
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