Solr Database Architect

3 days ago


Mumbai, Maharashtra, India Jio Full time

We are seeking a skilled Solr Database Architect to join our team at Jio.

As a key member of our team, you will be responsible for designing and implementing high-performance search engines using Apache Solr. Your expertise in optimizing search engine performance, scaling architectures, and ensuring data consistency will be crucial in meeting the demands of our rapidly growing user base.

Our ideal candidate has a strong background in database administration, with a minimum of 3 years of experience working with Apache Lucene-SOLR. They should have hands-on experience with installation, configuration, administration, patching, up-gradation, and migration of SOLR instances. Additionally, they should be well-versed in implementing SOLR builds of indexes, shards, and refined searches across semi-structured data sets.

A successful candidate will also possess a solid understanding of Linux basic troubleshooting, distributed systems concepts, and analytical skills to execute and prioritize tasks effectively. They should be able to work independently, prioritize tasks efficiently, and communicate complex ideas effectively to both technical and non-technical stakeholders.

Responsibilities:

  • Design and implement high-performance search engines using Apache Solr.
  • Optimize search engine performance, scale architectures, and ensure data consistency.
  • Implement SOLR builds of indexes, shards, and refined searches across semi-structured data sets.
  • Maintain and troubleshoot SOLR instances, including patching, up-gradation, and migration.
  • Collaborate with cross-functional teams to develop and maintain large-scale search engine solutions.

Requirements:

  • 3+ years of experience working with Apache Lucene-SOLR.
  • Strong background in database administration.
  • Hands-on experience with installation, configuration, administration, patching, up-gradation, and migration of SOLR instances.
  • Experience with implementing SOLR builds of indexes, shards, and refined searches across semi-structured data sets.
  • Good analytical and problem-solving skills.
  • Ability to work independently and as part of a team.

The salary range for this position is approximately $120,000 - $180,000 per year, based on industry standards and location.



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