Platform Engineer (Elasticsearch) - New York, NY (Onsite/Hybrid)

Job Title: Platform Engineer (Elasticsearch)
Location: New York, NY (Onsite/Hybrid)
Duration: 1 Year Contract (Possible Extension)

Description:
Candidates who can manage Admin side of Platform. Specially Platform Engineers who has good knowledge about the product.
The client need is for Platform Engineers who manage configure, Authentication, Authorizations, Admin tasks, Product Expansions dynamically based on Volumes (Not a SRE/ Operations /Developers).
Either 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.