Apache Solr Search Engineer

Capgemini; Richmond (VA); On-site; USD 48,000 - 74,000; Part time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking an experienced Apache Solr Search Specialist to design, develop, optimize, and support enterprise search solutions in a contract capacity. The role focuses on Solr/SolrCloud architecture, indexing pipelines, and scaling search across enterprise applications.

The ideal candidate will implement full-text search, autocomplete, and ranking; tune relevancy, manage schemas, and integrate Solr with Java-based apps via REST APIs.

Qualifications

• Hands-on experience with Apache Solr / SolrCloud.
• Expertise in indexing, tokenization, stemming, analyzers, filters, and scoring.
• Experience with configuring schemas, managed schemas, dynamic fields, and custom analyzers.
• Knowledge of relevancy tuning, boosting, faceting, highlighting, and query parsers.
• 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 Git version control.

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

Solr/SolrCloud

Indexing/Tokenization

Query tuning

REST APIs

Java/J2EE

Linux scripting

Git

Job description

We are looking for an experienced Apache Solr Search Specialist to design, develop, optimize, and support enterprise search solutions. The ideal candidate should possess strong expertise in Apache Solr architecture, indexing strategies, search performance tuning, and integration with enterprise applications.

Key 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.

Required Skills:

Strong hands-on experience with Apache Solr / SolrCloud.

Expertise in search engine concepts including indexing, tokenization, stemming, analyzers, filters, and scoring.

Experience in configuring schemas, managed schemas, dynamic fields, and custom analyzers.

Knowledge of search relevancy tuning, boosting, faceting, highlighting, and query parsers.

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.

Preferred Skills:

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).

Experience in Guidewire, Insurance, Financial Services, or large‑scale enterprise applications.

Exposure to CI/CD pipelines and DevOps practices.

Understanding of security, access control, and search governance.

Nice to Have:

SolrCloud migration experience.

Search analytics and relevance engineering expertise.

Experience handling large-scale datasets (millions of documents).

Engagement Type:

Subcontractor / Contract Resource

Immediate to 30-day joiner preferred

Mandatory Keywords (for sourcing)

Apache Solr, SolrCloud, Lucene, Search Optimization, Indexing, Faceting, Relevancy Tuning, Search APIs, Query Performance, Schema Design, Replication, Sharding, Search Architecture.

The pay range that the employer in good faith reasonably expects to pay for this position is $34.67/hour - $54.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.