Apache Solr Developer Search Engineer

4 - 8 years

15 - 25 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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:

Roles and Responsibilities

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).

 

 

 

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