Solr Search Engineer

Apple33 days ago
Austin, US

About this job

Job type: Full-time
Role: Backend Developer
Industry: Consumer Electronics
Company size: 10k+ people
Company type: Public


solr, java, elasticsearch

Job description

Imagine what you could do here - At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. At Apple, we are looking for a passionate NoSQL Engineer to help handle the large scale data store environments. This team is responsible for providing new architectures and scalability solutions to ever growing business and data processing needs. Individual can go to the depths to tackle complex problems and have the curiosity to explore and learn new technologies for innovative solutions. If you love to solve internet scale challenges then this is the right job for you. Dynamic, inspiring people working on innovative technologies are the norm here.

This position requires a passionate individual who likes large scale challenges and innovate on complex tasks. Who has the ability to think out of the box creatively to come up with different technology solutions or architectures to meet business requirement. Please have your resume highlighting the value you brought in terms of performance, efficiency, business challenges solved, money saved etc. This role requires ability to work independently on live production performance issues working with different teams.

Skills & requirements

  • Strong hands-on experience in SOLR/Elastic
  • Expertise in SOLR/Elastic Collection Sharding/replication, failover, fault tolerance, high availability.
  • Expertise in configuring SOLR/Elastic schema and understanding in advanced schema fields.
  • Understanding of internals of SOLR physical and logical layout
  • Expertise in tuning the of search results.
  • Expertise in Java JVM tuning and Debugging
  • Hands on Automation using Python or Java
  • Deep understanding of HTTP and REST APIs.
  • Expertise in fine tuning SOLR caches and cache warming and segment merging.
  • Exposure to the internal implementations of SOLR/Elastic/Lucene and understanding of Information Retrieval techniques.
  • Good understanding of agile development and continuous integration
  • Design and develop search engine monitoring tools
  • Ability to write automated unit test cases for solr search engine.
  • Studying, researching and resolving difficult issues involving Solr, Elastic and related technologies
  • Good in depth understanding of the Linux in term of debugging tools and performance tuning

BS/MS in Computer Science or Equivalent
  • Languages: In depth hands on Java, Python
  • Tools: JVM Tuning tools, OS Performance and Debugging, Kibana, Xpack


Austin, US

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