Role: Solr/Fusion Platform Engineer

Location: NYC, NY /Hybrid (3 Days onsite in a week)

Interview: Face to Face Mandatory

Employment Type: W2 Contract

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.

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

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.

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