Only VISA Independent Candidates USC/GC only
Role: Platform Developer with Lucidworks Fusion and/or Elasticsearch
Location: NYC, NY - Onsite
Contract
FIRST REQUIREMENT - Solr/Fusion or Elasticsearch
Job summary
We are seeking a skilled Platform Engineer with expertise in Lucidworks Fusion or Elasticsearch to design, deploy, optimize, and maintain our enterprise search and data analytics platforms. The ideal candidate will have a strong background in search engine architectures, data ingestion and indexing strategies ensuring reliable, scalable and performant search solutions.
Key Responsibilities:
Search Platform Administration
Deploy configure and maintain Lucidworks Fusion or Elasticsearch instances
Monitor platform health, troubleshoot issues and perform capacity planning.
Implement and enforce security measures including access controls, encryption and audit logging.
Optimize search and query performance through tuning, caching and pipeline configuration.
Data Ingestion & Integration
Design data pipelines and connectors to ingest data from various sources into Elasticsearch and Lucidworks.
Collaborate with Data Engineering and Application teams to support data flow and indexing processes.
Ensure data consistency, accuracy, and timeliness in search indexes.
Qualifications & Experience
Minimum of 7 years experience working with Elasticsearch or Lucidworks Fusion.
Hands-on experience with deploying, scaling, and tuning Elasticsearch clusters.
Proven experience with Fusion platform administration, customization, and development.
Strong understanding of search engine architecture, information retrieval, and relevance tuning.
Proficiency with scripting languages such as Bash, Python, or similar.
Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable.
SECOND REQUIREMENT - Solr/Fusion(mandatory) + Elasticsearch experience
Job Summary
We are seeking a skilled Platform Engineer with expertise in Elasticsearch and Lucidworks Fusion to design, deploy, optimize, and maintain our enterprise search and data analytics platforms. The ideal candidate will have a strong background in search engine architectures, data ingestion, and content management systems, ensuring our search solutions are scalable, reliable, and performant to support business-critical applications.
Key Responsibilities
Lucidworks Fusion Administration & Customization
Deploy and administer Lucidworks Fusion instances across various environments.
Develop, configure, and maintain search pipelines, connectors, and indexing jobs.
Create custom search interfaces, connectors, and components to meet enterprise requirements.
Optimize Fusion search performance through tuning and caching strategies.
Manage user access, permissions, and authentication integrations.
Implement security best practices, privacy policies, and compliance standards.
Elasticsearch Administration & Optimization
Deploy, configure, and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.
Develop and enforce best practices for data indexing, sharding, replication, and data lifecycle management.
Monitor cluster health, perform capacity planning, and optimize search and query performance.
Manage Elasticsearch security features, including role-based access control (RBAC), encryption, and audit logging.
Troubleshoot and resolve cluster issues, including node failures, data corruption, or network partitions.
Data Ingestion & Integration
Design data pipelines and connectors to ingest data from various sources into Elasticsearch and Lucidworks.
Collaborate with Data Engineering and Application teams to support data flow and indexing processes.
Ensure data consistency, accuracy, and timeliness in search indexes.
Qualifications & Experience
Minimum of 7 years experience working with Elasticsearch and Lucidworks Fusion.
Hands-on experience with deploying, scaling, and tuning Elasticsearch clusters.
Proven experience with Fusion platform administration, customization, and development.
Strong understanding of search engine architecture, information retrieval, and relevance tuning.
Proficiency with scripting languages such as Bash, Python, or similar.
Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable.
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