Why This Role Stands Out
This role offers an exciting opportunity to build and optimize critical data infrastructure, providing you with significant growth potential and the chance to make a real impact on enterprise observability. If you're a skilled Elastic Stack Engineer eager to collaborate with diverse teams and deliver high-quality monitoring solutions, you'll thrive here. Apply today to join a mission-focused environment where your expertise will be highly valued.
Quick Overview
Job Description
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.
- Active TS/SCI security clearance required.
- Proven experience managing and scaling Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) environments.
- Strong understanding of search, indexing, and analytics within Elasticsearch.
- Experience designing and tuning Logstash pipelines and Beats data collectors.
- Proficiency in creating Kibana dashboards and visualizations tailored to operational needs.
- Ability to troubleshoot complex issues affecting data ingestion, search performance, and platform stability.
- Knowledge of security best practices for Elastic Stack deployment.
- Strong communication skills to collaborate effectively across teams.
- Experience working in fast-paced, mission-driven environments is a plus.
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
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