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]

📌 Elastic Search Engineer (Bengaluru)
🏢 Hack And Grow Consultancy
📍 Bengaluru