Sr. Platform Engineer Solr & Lucid works Fusion
New York City NY (Locals needed)
Duration: 12 months
Interview mode : 3 rounds (inperson is mandatory for last round)
Position type: W2 contract
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.
Sr. Platform Engineer Solr & Lucid works Fusion New York City NY (Locals needed) Duration: 12 months Interview mode : 3 rounds (inperson is mandatory for last round) Position type: W2 contract Job Summary We are seeking an experienced Platform Engineer specializing in Apache Solr and Luc...
Sr. Platform Engineer Solr & Lucid works Fusion
New York City NY (Locals needed)
Duration: 12 months
Interview mode : 3 rounds (inperson is mandatory for last round)
Position type: W2 contract
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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