Experience & Technical Skills
- Minimum of 1–3 years of strong hands-on knowledge with full implementation of Elasticsearch
- Relevant experience in Elastic Stack (Elasticsearch, Logstash, Kibana, Filebeat, Ingest Pipeline)
- Strong experience in installing and configuring ELK
- Strong experience in design, build, deploy, maintain, and enhance ELK platform
- Good experience in using or creating plugins for ELK like authentication and authorization plugins
- Troubleshoot and resolve complex issues related to data ingestion, storage, search, and visualization within the ELK stack
- Good experience in enhancing Open-source ELK for custom capabilities
- Experience in integrating ELK with enterprise tools and APIs, e.g., for authentication and authorization
- Capacity Planning of Elasticsearch Cluster
- Fine-tuning techniques of bulk indexing and querying
- Implement best practices for ELK stack deployment, configuration, and maintenance
- Solid understanding of continuous integration, deployment, and operations concepts
- Monitor ELK stack performance, identify bottlenecks, and implement performance optimization strategies
- Stay up-to-date with the latest developments in the ELK stack ecosystem and recommend improvements or new features
- Document solutions, configurations, and troubleshooting procedures for internal knowledge sharing and client support
- Mentor junior team members and provide guidance on ELK stack technologies and best practices
- Proficiency in Elasticsearch query DSL (Domain Specific Language) for data retrieval and analysis
- Solid understanding of log management, data parsing, and enrichment techniques using Logstash
- Experience with ELK stack performance tuning, optimization, and scalability
Strong experience in using:
- Elasticsearch Indices
- Elasticsearch APIs
- Kibana Dashboards
- Logstash
- Log Beats
