What are the responsibilities and job description for the Platform Engineer position at Jobs via Dice?
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F2F INTERVIEW MUST
Role : Solr/Fusion Platform Engineer
Location: New York City, NY (5 Days onsite)
Job Description: So far the profiles he screened are know about how to use the product like Developer / like SRE, But he is looking for someone who can handle the products Setup, Volume and other Admin / Identity Managements(Authorization/Authentications) etc..
Solr/Fusion(mandatory) Elasticsearch experience: 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
F2F INTERVIEW MUST
Role : Solr/Fusion Platform Engineer
Location: New York City, NY (5 Days onsite)
Job Description: So far the profiles he screened are know about how to use the product like Developer / like SRE, But he is looking for someone who can handle the products Setup, Volume and other Admin / Identity Managements(Authorization/Authentications) etc..
Solr/Fusion(mandatory) Elasticsearch experience: 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 & 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.
- 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.