Job Title : Platform Engineer (Elasticsearch OR Kafka)
Location : New York NY - Hybrid
Note : Please look for candidates who can manage Admin side of Platform. Specially Platform Engineers who has good knowledge about the product.
The client doesnt need any SRE/ Operations /Developers but purely looking for Platform Engineers who manage configure Authentication Authorizations Admin tasks Product Expansions dynamically based on Volumes.
- 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.
Job Title : Platform Engineer (Elasticsearch OR Kafka) Location : New York NY - Hybrid Note : Please look for candidates who can manage Admin side of Platform. Specially Platform Engineers who has good knowledge about the product. The client doesnt need any SRE/ Operations /Developers but purely loo...
Job Title : Platform Engineer (Elasticsearch OR Kafka)
Location : New York NY - Hybrid
Note : Please look for candidates who can manage Admin side of Platform. Specially Platform Engineers who has good knowledge about the product.
The client doesnt need any SRE/ Operations /Developers but purely looking for Platform Engineers who manage configure Authentication Authorizations Admin tasks Product Expansions dynamically based on Volumes.
- 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.
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