Job
Description
Minimum of 3-5 years of strong hands-on knowledge with full implementation of Elasticsearch. - Relevant experience in Elastic Stack (Elastic Search, Logstash, Kibana, Filebeat, Ingest Pipeline) - Strong experience in installing and configuring ELK. Strong experience in Design, build, deploy, maintain, and enhance ELK platform - Strong experience in using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash and Log Beats - 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, for example for authentication and authorization - Capacity Planning of Elastic Search 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 to enhance our offerings. - Document solutions, configurations, and troubleshooting procedures for internal knowledge sharing and client support purposes. - 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.
