LiquidKinetics is seeking a talented Elastic Stack Engineer to design, implement, and maintain our Elastic Stack infrastructure, including Elasticsearch, Logstash, Kibana, and Beats. This role focuses on building scalable data ingestion pipelines, optimizing search and analytics capabilities, and ensuring the reliability and performance of Elastic Stack deployments across enterprise environments.
The Elastic Stack Engineer will work closely with security, operations, and development teams to provide real-time insights and visualization for logs, metrics, and other observability data. The ideal candidate is passionate about data engineering, analytics, and delivering high-quality monitoring solutions in a fast-paced, mission-focused environment.
Responsibilities
Design, deploy, and manage Elasticsearch clusters for high availability and performance.
Develop and optimize Logstash pipelines and Beats configurations for efficient data ingestion.
Create and maintain Kibana dashboards, visualizations, and alerts to support operational and security monitoring.
Collaborate with cross-functional teams to define data requirements and observability strategies.
Troubleshoot and resolve issues related to Elastic Stack components.
Implement best practices for scaling, securing, and optimizing the Elastic Stack environment.
Document system architecture, processes, and configurations to ensure knowledge sharing and continuity.