ELK Stack Engineer

Role Overview: As an ELK Stack Engineer, your main responsibility will be to design, implement, and manage scalable logging and monitoring solutions using the Elastic Stack. Your expertise in Elasticsearch, Logstash, and Kibana will be crucial in ensuring the performance tuning, cluster management, and security monitoring of the systems. Key Responsibilities: - Designing and implementing Elastic Stack solutions for monitoring critical applications - Performing capacity planning and cluster sizing - Optimizing and maintaining existing Elasticsearch clusters - Configuring and managing ETL data pipelines using Elastic Common Schema (ECS) - Developing and maintaining data ingestion pipelines using Logstash/Beats - Building and integrating APIs for data ingestion - Implementing security, alerting, and monitoring using X-Pack - Creating dashboards and visualizations using Kibana - Supporting log analytics and observability use cases - Monitoring and tuning cluster performance - Troubleshooting indexing, query, and crawl issues - Managing and supporting SIEM, APM, and Security Analytics - Implementing and maintaining Cross-Cluster Replication (CCR) Qualifications Required: - Strong experience with Elasticsearch, Logstash, and Kibana (ELK Stack) - Hands-on experience with cluster setup, scaling, and performance tuning - Experience in log monitoring, analytics, and observability platforms - Knowledge of Elastic Common Schema (ECS) - Experience with X-Pack (Security, Alerting, Monitoring) - Understanding of SIEM, APM, and log analytics tools Please note that the above job description does not contain any additional details about the company. Role Overview: As an ELK Stack Engineer, your main responsibility will be to design, implement, and manage scalable logging and monitoring solutions using the Elastic Stack. Your expertise in Elasticsearch, Logstash, and Kibana will be crucial in ensuring the performance tuning, cluster management, and security monitoring of the systems. Key Responsibilities: - Designing and implementing Elastic Stack solutions for monitoring critical applications - Performing capacity planning and cluster sizing - Optimizing and maintaining existing Elasticsearch clusters - Configuring and managing ETL data pipelines using Elastic Common Schema (ECS) - Developing and maintaining data ingestion pipelines using Logstash/Beats - Building and integrating APIs for data ingestion - Implementing security, alerting, and monitoring using X-Pack - Creating dashboards and visualizations using Kibana - Supporting log analytics and observability use cases - Monitoring and tuning cluster performance - Troubleshooting indexing, query, and crawl issues - Managing and supporting SIEM, APM, and Security Analytics - Implementing and maintaining Cross-Cluster Replication (CCR) Qualifications Required: - Strong experience with Elasticsearch, Logstash, and Kibana (ELK Stack) - Hands-on experience with cluster setup, scaling, and performance tuning - Experience in log monitoring, analytics, and observability platforms - Knowledge of Elastic Common Schema (ECS) - Experience with X-Pack (Security, Alerting, Monitoring) - Understanding of SIEM, APM, and log analytics tools Please note that the above job description does not contain any additional details about the company.