Platform Developer with Lucidworks Fusion and/or ElasticsearchLocation: NYC, NY - OnsiteFirst Requirement - Solr/Fusion or ElasticsearchJob 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 AdministrationDeploy, configure and maintain Lucidworks Fusion or Elasticsearch instancesMonitor platform health, troubleshoot issues and perform capacity planningImplement and enforce security measures including access controls, encryption and audit loggingOptimize search and query performance through tuning, caching and pipeline configurationData Ingestion & IntegrationDesign data pipelines and connectors to ingest data from various sources into Elasticsearch and LucidworksCollaborate with Data Engineering and Application teams to support data flow and indexing processesEnsure data consistency, accuracy, and timeliness in search indexesQualifications & 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 experienceJob 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 & CustomizationDeploy and administer Lucidworks Fusion instances across various environmentsDevelop, configure, and maintain search pipelines, connectors, and indexing jobsCreate custom search interfaces, connectors, and components to meet enterprise requirementsOptimize Fusion search performance through tuning and caching strategiesManage user access, permissions, and authentication integrationsImplement security best practices, privacy policies, and compliance standardsElasticsearch Administration & OptimizationDeploy, configure, and maintain Elasticsearch clusters, ensuring high availability, scalability, and performanceDevelop and enforce best practices for data indexing, sharding, replication, and data lifecycle managementMonitor cluster health, perform capacity planning, and optimize search and query performanceManage Elasticsearch security features, including role-based access control (RBAC), encryption, and audit loggingTroubleshoot and resolve cluster issues, including node failures, data corruption, or network partitionsData Ingestion & IntegrationDesign data pipelines and connectors to ingest data from various sources into Elasticsearch and LucidworksCollaborate with Data Engineering and Application teams to support data flow and indexing processesEnsure data consistency, accuracy, and timeliness in search indexesQualifications & 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.