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4.0 - 8.0 years

15 - 25 Lacs

Bengaluru

Work from Office

Job Summary: We are looking for a skilled Apache Solr Engineer to design, implement, and maintain scalable and high-performance search solutions. The ideal candidate will have hands-on experience with Solr/SolrCloud, strong analytical skills, and the ability to work in cross-functional teams to deliver efficient search functionalities across enterprise or customer-facing applications. Experience: 4–8 years Roles and Responsibilities Key Responsibilities: Design, develop, and maintain enterprise-grade search solutions using Apache Solr and SolrCloud . Develop and optimize search indexes and schema based on use cases like product search, document search, or order/invoice search. Integrate Solr with backend systems, databases and APIs. Implement 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 (cluster coordination & configuration management). Monitor search system health and troubleshoot issues in production. Collaborate with product teams, data engineers, and DevOps teams for smooth delivery. Stay up to date with new features of Apache Lucene/Solr and recommend improvements. Required Skills & Qualifications: Strong experience in Apache Solr & SolrCloud Good understanding of Lucene , inverted index , analyzers , tokenizers , and search relevance tuning . Proficient 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. Experience with log analysis , performance tuning , and monitoring tools like Prometheus/Grafana is a plus. Exposure to e-commerce or document management search use cases is an advantage. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Experience with Elasticsearch or other search technologies is a plus. Working knowledge of CI/CD pipelines and cloud platforms ( Azure).

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