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Sr Platform Engineer Solr And Lucid

  • ... Posted on: Nov 12, 2025
  • ... VeeRteq Solutions Inc
  • ... New York City, New York
  • ... Salary: Not Available
  • ... CTC

Sr Platform Engineer Solr And Lucid   

Job Title :

Sr Platform Engineer Solr And Lucid

Job Type :

CTC

Job Location :

New York City New York United States

Remote :

No

Jobcon Logo Job Description :

Sr. Platform Engineer Solr & Lucid works Fusion

Location: New York City, NY

Our challenge:

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

  • At least 5+ years experience working with Apache Solr, with hands-on experience deploying and managing large-scale Solr clusters.
  • Proven experience administering Lucidworks Fusion platform 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.

Jobcon Logo Position Details

Posted:

Nov 12, 2025

Employment:

CTC

Salary:

Not Available

Snaprecruit ID:

SD-CIE-fd5de8cfae408f715f7f06a6da655c58115f7811d178d510959cd9cc1c073110

City:

New York City

Job Origin:

CIEPAL_ORGANIC_FEED

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Sr. Platform Engineer Solr & Lucid works Fusion

Location: New York City, NY

Our challenge:

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

  • At least 5+ years experience working with Apache Solr, with hands-on experience deploying and managing large-scale Solr clusters.
  • Proven experience administering Lucidworks Fusion platform 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.

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