Elastic Stack Engineer

LiquidKinetics

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI security clearance required.
  • Proven experience with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats).
  • Strong knowledge of search, indexing, and analytics in Elasticsearch.
  • Experience with Logstash pipeline and Beats configuration.
  • Skilled in creating Kibana dashboards and visualizations for operational use.
  • Ability to troubleshoot complex data ingestion and performance issues.
  • Familiarity with security best practices for Elastic Stack.

Responsibilities

  • Design, deploy, and manage Elasticsearch clusters for high availability.
  • Develop and optimize Logstash pipelines and Beats configurations.
  • Create and maintain Kibana dashboards and alerts for monitoring.
  • Collaborate with teams to define data requirements and observability strategies.
  • Troubleshoot issues with Elastic Stack components.
  • Implement best practices for scaling and securing the Elastic Stack.
  • Document architecture and processes for knowledge sharing.

Benefits

  • 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
Full 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.

Requirements
  • 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.

Benefits
  • 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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