Senior Software Engineer, Monitoring

We are seeking a Senior Engineer with deep expertise in Apache Solr to design, build, and optimize scalable search solutions. This role focuses on improving search performance, relevancy, and indexing pipelines in a cloud-based environment. You will own search relevance across both traditional keyword-based and modern semantic (vector-based) retrieval.

Req.#989600929

Design, build, and maintain Solr-based search platforms Optimize search relevancy, ranking, and query performance Build and manage indexing pipelines for large datasets Deploy and operate services in AWS Collaborate with cross-functional teams on search and recommendation features Explore and implement ML-driven enhancements for search Define and implement hybrid search strategies combining keyword and vector-based retrieval Build and operate vector search pipelines within Solr/Lucene Measure and improve search relevance using evaluation metrics and experimentation Maintain Solr in production (SolrCloud), including collections, sharding, replication, and scaling Establish monitoring, SLOs, runbooks, and participate in incident response and root cause analysis Strong experience with Apache Solr and backend development (Java or similar) Experience working with AWS Solid understanding of search architecture, indexing, and performance optimization Experience designing and tuning search relevance strategies Hands-on experience with SolrCloud in production environments Familiarity with vector search and modern retrieval techniques Experience with machine learning in search or recommendation systems Familiarity with Elasticsearch or OpenSearch Experience with distributed systems and large-scale data processing Exposure to embedding-based retrieval and approximate nearest neighbor (ANN) algorithms Experience with re-ranking or learning-to-rank approaches