Senior Solr Search Engineer | Scalable SolrCloud Relevancy

Caliber Smart; Richmond (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Caliber Smart seeks an Experienced Apache Solr Search Engineer to design, implement, and optimize enterprise search solutions in Richmond, VA. You will shape indexing pipelines, tuning, and integration with Java-based applications.

The role requires 5+ years in Solr/SolrCloud, strong architecture skills, and hands-on experience with REST APIs. This is an onsite, 12-month assignment offering meaningful impact on mission-critical search capabilities.

Qualifications

• 5+ years of hands-on Solr/SolrCloud experience in enterprise environments.
• Strong architecture skills for indexing pipelines, relevancy tuning, and scaling.
• Experience configuring schemas, analyzers, and custom solr configurations.
• Familiarity with REST API integration and Java-based applications.

Responsibilities

• Design and implement scalable search solutions using Apache Solr.
• Configure and manage Solr collections, cores, schemas, and indexing pipelines.
• Develop and optimize complex search queries, filters, facets, boosting, and relevancy tuning.
• Implement full-text search, autocomplete, spell check, synonym management, and ranking.
• Analyze and improve search performance and query response times.
• Integrate Solr with Java-based and web applications via REST APIs.
• Troubleshoot search issues, index corruption, replication, and cluster problems.
• Support SolrCloud deployments, sharding, replication, and HA configurations.
• Collaborate with analysts and developers to define search requirements & relevancy models.
• Provide recommendations on search architecture and best practices.

Skills

Apache Solr / SolrCloud

Lucene indexing & scoring

Schema design & managed schemas

REST APIs integration

Java/J2EE applications

Linux & scripting

Solr performance tuning

Troubleshooting Solr

Sharding & replication

CI/CD basics

Job description

Caliber Smart seeks an Experienced Apache Solr Search Engineer to design, implement, and optimize enterprise search solutions in Richmond, VA. You will shape indexing pipelines, tuning, and integration with Java-based applications.

The role requires 5+ years in Solr/SolrCloud, strong architecture skills, and hands-on experience with REST APIs. This is an onsite, 12-month assignment offering meaningful impact on mission-critical search capabilities.