Platform Engineer with ElasticSearch & Fusion

Job 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 & 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.

Elasticsearch Administration & Optimization:

• 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.

Qualifications & 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