Senior Apache Solr Search Engineer — Scale Enterprise Search

Capgemini; New York (NY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Paid time off

401(k) retirement plan

Medical, dental, and vision coverage

Life and disability insurance

Job summary

Capgemini is seeking an experienced Apache Solr Search Specialist to design, develop, optimize, and support enterprise search solutions in a dynamic, enterprise environment. The role emphasizes Solr/SolrCloud architecture, indexing strategies, and integration with Java-based applications.

The candidate will configure schemas, manage indexing pipelines, and tune relevancy, while ensuring high availability and scalable search performance across enterprise systems.

Qualifications

• Strong hands-on experience with Apache Solr / SolrCloud.
• Expertise in search engine concepts including indexing, tokenization, stemming, analyzers, filters, and scoring.
• Experience with Solr administration, performance tuning, monitoring, and troubleshooting.
• Strong understanding of REST APIs and integration patterns.
• Experience with Java/J2EE-based applications.
• Familiarity with Linux environments and scripting.
• Experience with version control tools such as Git.
• Experience with Elasticsearch and comparative search architectures.
• Experience working with Guidewire applications and implementing/searching solutions using Apache Solr within Guidewire environments is highly preferred.
• Knowledge of cloud platforms (AWS/Azure/GCP).

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 algorithms.
• Analyze and improve search performance, indexing efficiency, and query response times.
• Integrate Solr with Java-based and web applications through REST APIs.
• Troubleshoot search issues, index corruption, replication, and cluster-related problems.
• Support SolrCloud deployments, sharding, replication, and high-availability configurations.
• Work closely with business analysts and application teams to define search requirements and relevancy models.
• Provide recommendations on search architecture, scalability, and best practices.

Skills

Apache Solr

SolrCloud

Java/J2EE

REST APIs

Linux

Git

Performance tuning

Indexing and relevancy

Tools

Guidewire

Elasticsearch

AWS

Job description

Capgemini is seeking an experienced Apache Solr Search Specialist to design, develop, optimize, and support enterprise search solutions in a dynamic, enterprise environment. The role emphasizes Solr/SolrCloud architecture, indexing strategies, and integration with Java-based applications.

The candidate will configure schemas, manage indexing pipelines, and tune relevancy, while ensuring high availability and scalable search performance across enterprise systems.