Cyberobotix

Solr Consultant

Cyberobotix
6 - 10 years
United States
Contract
Remote
1 month ago

About the role

Job Title: Solr Consultant (Search Engineer)
Location: Remote
Experience: 10+ Years
Position Overview:
We are looking for an experienced Solr Consultant / Search Engineer with strong expertise in enterprise search platforms and backend development. The ideal candidate will have deep knowledge of search domain concepts , hands-on experience with Apache Solr (or similar technologies) , and solid Java backend development skills .
This role involves designing, implementing, and optimizing scalable, high-performance search solutions to enhance user experience across digital platforms.
Key Responsibilities:
  • Design and implement scalable search solutions using Apache Solr / Lucene or equivalent platforms
  • Develop and optimize search functionalities including indexing, querying, ranking, faceting, and relevancy tuning
  • Integrate search engines with backend services using Java (Spring Boot / Microservices architecture)
  • Analyze search performance and implement improvements for speed, accuracy, and scalability
  • Work with large datasets and optimize indexing pipelines
  • Collaborate with cross-functional teams (product, UI/UX, data engineering) to enhance search experience
  • Troubleshoot and resolve production issues related to search performance and data inconsistencies
  • Evaluate and implement modern search technologies such as Google Vertex AI Search or Constructor platform
  • Ensure best practices in search relevance, scalability, and fault tolerance

Required Qualifications:
  • 10+ years of IT experience with strong backend engineering background
  • Hands-on experience with Apache Solr / Lucene (must-have)
  • Strong understanding of search domain concepts (indexing, tokenization, ranking algorithms, relevancy tuning)
  • Proficiency in Java development , preferably with Spring Boot
  • Experience building and consuming RESTful APIs
  • Familiarity with microservices architecture
  • Experience working with distributed systems and large-scale data environments
  • Strong debugging, performance tuning, and problem-solving skills

Preferred Qualifications:
  • Experience with Google Vertex AI Search or Constructor.io
  • Knowledge of Elasticsearch is a plus
  • Experience with cloud platforms (AWS / GCP / Azure)
  • Exposure to eCommerce / retail search implementations
  • Understanding of AI/ML-based search or recommendation systems

Soft Skills:
  • Strong communication and stakeholder management skills
  • Ability to work independently in a remote environment
  • Proactive and solution-oriented mindset

Skills

Human Resources ServicesInformation Technology
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