
Senior ELK Stack Engineer
7 days ago
As a highly skilled and experienced ELK Stack engineer, you will play a key role in designing, building, deploying, maintaining, and enhancing our ELK platform.
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- Full Implementation of Elasticsearch: Minimum of 5–7 years of strong hands-on knowledge with full implementation of Elasticsearch is required.">
- Elastic Stack Experience: Relevant experience in Elastic Stack (Elastic Search, Logstash, Kibana, Filebeat, Ingest Pipeline) is necessary.">
- ELK Configuration and Deployment: Strong experience in installing and configuring ELK, designing, building, deploying, maintaining, and enhancing ELK platform is required.">
- ELK Indices, APIs, Dashboards, and Plugins: Strong experience in using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash and Log Beats is necessary.">
- Plugin Development: Good experience in using or creating plugins for ELK like authentication and authorization plugins is required.">
- Troubleshooting Complex Issues: Troubleshoot and resolve complex issues related to data ingestion, storage, search, and visualization within the ELK stack.">
- Enhancing Open-source ELK: Good experience in enhancing Open-source ELK for custom capabilities is necessary.">
- Enterprise Tool Integration: Experience in integrating ELK with enterprise tools and APIs, for example for authentication and authorization is required.">
- Capacity Planning: Capacity Planning of Elastic Search Cluster is necessary.">
- Bulk Indexing and Querying: Fine-tuning techniques of bulk indexing and querying are required.">
- ELK Stack Best Practices: Implement best practices for ELK stack deployment, configuration, and maintenance.">
- Continuous Integration and Deployment: Solid understanding of continuous integration, deployment and operations concepts is necessary.">
- ELK Stack Performance Optimization: Monitor ELK stack performance, identify bottlenecks, and implement performance optimization strategies.">
- Staying Up-to-date: Stay up-to-date with the latest developments in the ELK stack ecosystem and recommend improvements or new features to enhance our offerings.">
- Mentorship and Knowledge Sharing: 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: Proficiency in Elasticsearch query DSL (Domain Specific Language) for data retrieval and analysis is necessary.">
- Log Management and Data Enrichment: Solid understanding of log management, data parsing, and enrichment techniques using Logstash is required.">
- ELK Stack Performance Tuning and Scalability: Experience with ELK stack performance tuning, optimization, and scalability is necessary.
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