Senior Elastic Engineer

The Sr. ELK Engineer will be responsible for the design and development of the Elastic Stack of tools that monitor and manage critical applications and infrastructure.

• Strong experience with evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security and administration
• Design and configure ETL data pipelines using Elastic Common Schema to onboard application logs and metrics Configure index templates and data life cycle management (ILM) for data retention.
• Secure, maintain, optimize, document, Some design and build, Elastic Stack Enterprise solutions (Elasticsearch, Logstash, Kibana and/or Grafana, and Beats,
• Develop Elastic alerting solutions using Watcher and Kibana or Grafana. Alerts that will have integrate into Jira for ticketing
• Develop Machine Learning (ML) job to dynamically monitor and alert on specific metrics and KPIs Follow life cycle processes to move solutions from Dev to QA to Production.
• Participate in group sessions as well as attend and share in agile sprint daily meetings to track progress to ensure development of solutions is in support of the requirements
• Experience with developing in multiple languages (Python, Bash, Painless, or other scripting languages)
• Strong experience with the full ELK Stack - Elasticsearch, Logstash, Kibana, Beat agents, Machine Learning, APM, X-Pack and REST API integration
• Must understand Data, building data pipelines.
• understand Machine Learning principles.
• Coding experience is a PLUS not a must.