AI/ML – Data Infrastructure Solr/Search Engineer, Siri Search & Knowledge Platform


Job Overview

Key Qualifications

  • Passionate about Data Processing and Search Technologies
  • 3+ years of experience configuring, scaling, and troubleshooting search infrastructure (Solr, Elastic Search, Lucene API, etc)
  • Experience with alerting, monitoring and remediation automation in a large scale distributed environment
  • Programming experience in Java, Python, or similar languages
  • Excellent communication and collaboration skills
  • Experience with AWS is a big plus
  • Description

    You will be responsible for the Search Infrastructure that powers the Siri Data teams for analytics and machine learning.Our infrastructure supports millions of Siri users at 100+ PB scale. To run our environment efficiently, we drive for proper monitoring, alerting and automation. The team’s goal is to ensure the reliability and performance at the highest level. Responsibilities include: * Manage and operate our search infrastructure that is built on top of SolrCloud* Collaborate across AI/ML teams to analyze and optimize their search and indexing needs for different forms of data* Diagnose, fix, improve, and automate complex issues across the search stack to ensure maximum uptime and performance* Establish SLA’s for all indexing and search use cases in production* Write code, documentation, participate in code reviews, and mentor other engineers

    Education & Experience

    BS, MS, or PhD degree in Computer Science or equivalent experience

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