Apache Solr Developer Search Engineer

You will be responsible for designing, developing, and maintaining enterprise-grade search solutions using Apache Solr and SolrCloud. Your key tasks will include developing and optimizing search indexes and schema for various use cases such as product search, document search, or order/invoice search. Additionally, you will be required to integrate Solr with backend systems, databases, and APIs, implementing features like full-text search, faceted search, auto-suggestions, ranking, and relevancy tuning. It will also be part of your role to optimize search performance, indexing throughput, and query response time for efficient results. - Develop and optimize search indexes and schema for different use cases - Integrate Solr with backend systems, databases, and APIs - Implement features like full-text search, faceted search, auto-suggestions, ranking, and relevancy tuning - Optimize search performance, indexing throughput, and query response time - Ensure data consistency and high availability using SolrCloud and Zookeeper - Monitor the health of the search system and troubleshoot production issues - Collaborate with product teams, data engineers, and DevOps teams - Stay updated with new features of Apache Lucene/Solr and recommend improvements - Expertise in Apache Solr & SolrCloud with a strong understanding of Lucene, inverted index, analyzers, tokenizers, and search relevance tuning - Proficiency in Java or Python for backend integration and development - Experience with RESTful APIs, data pipelines, and real-time indexing - Familiarity with Zookeeper, Docker, Kubernetes for SolrCloud deployments - Knowledge of JSON, XML, and schema design in Solr - Bachelors or Masters degree in Computer Science, Engineering, or a related field - Experience with Elasticsearch or other search technologies will be advantageous - Working knowledge of CI/CD pipelines and cloud platforms such as Azure,