Elsevier is seeking a professional with expertise in Lucene, Elasticsearch, Solr, or similar search technologies. The role involves leading architectural design and enhancing users’ search experience through innovative systems. You will automate processes and collaborate with cross-functional teams to drive reliable engineering solutions.
The ideal candidate should have a proven track record in building scalable search systems and expertise in batch processing technologies like Spark and Airflow. You will be integral in improving the relevance and efficiency of our search platform.
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Lead Search Systems Engineer Vector & Lexical Architect
Elsevier · New York, NY, USA ·
- Job type:
- Full Time