drjobs Platform Engineer – Solr & Lucidworks Fusion / Elastic Search

Platform Engineer – Solr & Lucidworks Fusion / Elastic Search

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1 Vacancy
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Job Location drjobs

New York City, NY - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role: Senior Platform Engineer Solr & Lucidworks Fusion / Elastic Search

Location: NYC NY Day 1 onsite Hybrid model

Type: W2-Contract / Full-Time

Job Summary

We are seeking an experienced Platform Engineer specializing in Apache Solr and Lucidworks Fusion to design deploy optimize and maintain our enterprise search infrastructure. The ideal candidate will possess deep expertise in distributed search engines content ingestion and custom search application development enabling our organization to deliver scalable high-performance search and data discovery solutions.

Key Responsibilities

  • Solr & Lucidworks Fusion Administration & Management
  • Deploy configure and manage Solr clusters ensuring high availability scalability and fault tolerance.
  • Install configure and administer Lucidworks Fusion instances across development staging and production environments.
  • Manage core collections shards replicas data ingestion pipelines and indexing strategies.
  • Tune Solr and Fusion components for optimal search relevance latency and throughput.
  • Monitor and troubleshoot clustered search environments resolving performance bottlenecks and cluster failures.
  • Implement data security role-based access controls encryption and audit logging within Solr and Fusion.

Qualifications & Experience

  • 5 years of hands-on experience with Apache Solr including deploying and managing large-scale Solr clusters.
  • Proven experience administering Lucidworks Fusion in enterprise environments.
  • Strong understanding of search engine architectures relevancy tuning and data indexing concepts.
  • Experience with data ingestion pipelines connectors and ETL processes.
  • Proficiency in scripting languages such as Bash Python or Groovy.
  • Familiarity with containerization (Docker) and orchestration platforms (Kubernetes).
  • Knowledge of cloud environments (AWS Azure GCP) and managed search services is a plus.

Employment Type

Full-time

Company Industry

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