Apache Solr Developer Search Engineer

Job Summary:

We are looking for a skilled Apache Solr Engineer to design, implement, and maintain scalable and high-performance search solutions. The ideal candidate will have hands-on experience with Solr/SolrCloud, strong analytical skills, and the ability to work in cross-functional teams to deliver efficient search functionalities across enterprise or customer-facing applications.

Experience:

Key Responsibilities:

• Design, develop, and maintain enterprise-grade search solutions using

  Apache Solr and SolrCloud

  .
• Develop and optimize search indexes and schema based on use cases like product search, document search, or order/invoice search.
• Integrate Solr with backend systems, databases and APIs.
• Implement

  full-text search

  ,

  faceted search

  ,

  auto-suggestions

  ,

  ranking

  , and

  relevancy tuning

  .
• Optimize search performance, indexing throughput, and query response time.
• Ensure

  data consistency

  and

  high availability

  using SolrCloud and Zookeeper (cluster coordination & configuration management).
• Monitor search system health and troubleshoot issues in production.
• Collaborate with product teams, data engineers, and DevOps teams for smooth delivery.
• Stay up to date with new features of Apache Lucene/Solr and recommend improvements.

Required Skills & Qualifications:

• Strong experience in

  Apache Solr

  &

  SolrCloud

• Good understanding of

  Lucene

  ,

  inverted index

  ,

  analyzers

  ,

  tokenizers

  , and

  search relevance tuning

  .
• Proficient in

  Java

  or

  Python

  for backend integration and development.
• Experience with

  RESTful APIs

  , data pipelines, and real-time indexing.
• Familiarity with

  Zookeeper

  ,

  Docker

  ,

  Kubernetes

  (for SolrCloud deployments).
• Knowledge of

  JSON

  ,

  XML

  , and

  schema design

  in Solr.
• Experience with

  log analysis

  ,

  performance tuning

  , and

  monitoring tools

  like Prometheus/Grafana is a plus.
• Exposure to

  e-commerce

  or

  document management

  search use cases is an advantage.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience with

  Elasticsearch

  or

  other search technologies

  is a plus.
• Working knowledge of

  CI/CD pipelines

  and

  cloud platforms

  ( Azure).