Platform Engineer - Elasticsearch or Solr/Fusion at Galent DBA Diamond Pick

Role: Platform Engineer – Elasticsearch or Solr/Fusion Location: NYC, NY – Need to go onsite from Day 1 – Hybrid 3 Days / Week Contract Looking for: Platform Engineers who manage configure, Authentication, Authorizations, Admin tasks, Product Expansions dynamically based on Volumes. who can manage Admin side of Platform. Specially Platform Engineers who has good knowledge about the product. Need Either Elasticsearch or Solr/Fusion 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 of 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.