Overview
Hybrid
Depends on Experience
Full Time
Skills
Apache Solr
Lucidwork
Bash
Python
or Groovy.
Docker
ETL
Job Details
Platform Engineer Solr & Lucidworks Fusion
New York, NY (Hybrid)
Fulltime
Responsibilities:
- 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.
Requirements:
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.