Elastic Search Engineer

Roles and Responsibilities : An Elastic engineer needs to designs, deploys, and maintains the Elastic Stack (ELK), focusing on cluster optimization, data ingestion pipelines, and search performance tuning . Key responsibilities include cluster management, query optimization, and log analysis. Core Roles and Responsibilities Cluster Management: Design, deploy, scale, and monitor Elasticsearch clusters for high availability and performance. Data Ingestion: Build and maintain reliable data pipelines using Logstash, Beats, and Elastic Agent. Performance Tuning: Optimize indexing strategies, shard allocations, and write/search performance. Query & Relevancy: Implement advanced search capabilities, aggregations, and relevance scoring (e.g., DSL queries, vector search). Visualization: Create and manage operational dashboards, reports, and alerts in Kibana. Security & Maintenance: Implement role-based access control, encryption, routine patching, and version upgrades. Key Skills : Tech Stack: Elasticsearch, Logstash, Kibana, Beats, Elastic Agent, ES|QL. Programming/Scripting: Python, Java, or Bash. Infrastructure: Docker, Kubernetes, AWS/GCP/Azure, Terraform. Core Concepts: Distributed systems, index lifecycle management (ILM), search relevance tuning, and log parsing. [1, 2, 3, 4, 5, 6, 7, 8, 10]