Solid understanding of search engine technologies, search algorithms, and data structures
Experience with indexing, querying, and analyzing large volumes of structured and unstructured data. Familiarity with search relevance models and ranking techniques
Experience maintaining and designing applications on AWS
Experience with building efficient distributed, scalable, high quality software services, microservices
Big Data Technologies - Apache Lucene/Solr, Sys admin, AWS
Experience with Docker and Kubernetes
Experience with database technologies and SQL
Experience in Agile methodologies, and CI/CD DevOps tools (Jenkins / GitHub Actions, GitHub Co-pilot etc.)
Develop and maintain advanced query rewriting functionality.
Write automated unit test cases for Solr search engine.
Design, develop, review & test Solr search engine in collaboration with cross-functional teams.
In-depth understanding of SOLR, Elasticsearch, and Lucene
Proficient in Java, JVM tuning, and debugging.
Good knowledge of automation and tooling using Python or Java
Understanding of Linux for debugging tools and performance tuning
Knowledge of containers such as Kubernetes or Docker is a plus
Familiarity with cloud technologies such as AWS and Azure