Essential Skills/Basic Qualifications:

• Familiar with various logstash use cases, experience with use of different plugins for inputs, filters, outputs.
• Familiar with Elasticsearch query DSL, ideally has experience with use of aggregations and scripting in more complex Elasticsearch queries
• Familiar with Kibana out-of-the -box visualization functionality, has built dashboards for different use cases
• Familiar with use of filebeat and metricbeat and/or elastic agent
• Awareness of alerting use cases (using watcher and/or kibana alerts)
• Awareness of role-based access models in Kibana
• Awareness of Elastic APIs e.g. search, bulk, index, security APIs.
• Awareness of ELK stack architecture and administration (e.g. index lifecycle management using templates and ILM policies, concepts like shards and replicas for optimising resiliency and performance of Elasticsearch clusters)
• Experience with DevOps tools (use of version control e.g. git, some awareness of build orchestration tools e.g. Jenkins and package repos e.g. Nexus)

ELK-stack,  Splunk, DevOps tools, Kafka & AWS