As part of our team, you will be trusted to:

•  Develop and maintain new architecture to support large scale multi-tenant cloud native SOLR Search platform that is optimized for relevancy and latency
•  Optimize sharding techniques to improve quick information retrieval
•  Drive and balance the incorporation of new technologies while improving development practices
•  Mentor others by encouraging collaboration and knowledge sharing

You’ll need to have:

•  5+ years of experience in Search Technologies like Apache SOLR, Elasticsearch, etc.
•  Experience implementing large-scale search engine platforms, including effective shards management and information retrieval across structured, unstructured, and semi-structured datasets
•  Proficiency in devising scalable and performant search algorithms
•  Strong knowledge and experience with Python / Java / C++
•  Experience with open-source frameworks (Solr, Kafka, Spark, Cassandra, etc.)
•  Willingness and excitement to learn new things and work across a diverse set of languages and tools
•  Bachelor’s degree in computer science or a related field, and/or related professional experience
•  Excellent communication and collaboration skills

We’d love to see:

•  Experience with and background in Information Retrieval, Ranking Systems, Recommendation Systems, Artificial Intelligence/Machine Learning techniques
•  Experience with Search Relevance and Typeahead features
•  Experience with indexing techniques to optimize for higher search engine performance
•  Experience building APIs and working with Service Oriented Architectures
•  Track record of improving developer experience pushing Continuous Integration/Continuous Delivery