Platform Engineer Solr & Lucidworks Fusion

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6

Skills

SOLR
Lucidworks

Job Details

Platform Engineer Solr & Lucidworks Fusion (Local only)

NYC, Ny, Dallas , Texas , Charlotte , NC , New jersey

Long term Ptoject

Inperson interview required

Need Banking or financial doamin experience

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, Google Cloud Platform) and managed search services is a plus.

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