Careers | ONEsite

Search & Relevancy Engineer

ONEsite is looking for talented engineers interested in leveraging very large and very real-time data sets and interactions to develop next generation content search, recommendation and relevancy systems.

The ideal candidate will have previously worked with data warehousing, analysis, search and recommendation systems such as Hadoop, Hive, Lucene, Sphinx, Solr and other solutions.

• Bachelor's degree in Computer Science, Mathematics or related field


• Knowledge of various relevancy and recommendation algorithms/techniques


• Knowledge of graph databases such as Neo4j


• Experience with any of the following preferred: Thrift, Hadoop, Hive, Cassandra, Lucene, Solr, Mahout


• Knowledge of HTML5 and mobile web standards and trends


• Excellent teamwork and interpersonal skills as well as the capability to work in an agile environment

• Design, develop test and implement large scale data warehousing systems


• Use industry leading search, faceting and relevancy software and algorithms to organize data


• Create systems which combine batch processing and real-time indexing to generate highly relevant content recommendations or content streams


• Continually optimize and plan for scaling of datasets and search system performance


• Work with product teams to create next generation solutions leveraging the search infrastructure