Elastic Engineering Developer Senior - Remoto en Itkawa Technologies Llc

Job Description

Responsibilities

• Design and implement data models for Elasticsearch
• Develop search solutions using Elasticsearch's Domain Specific Language (DSL)
• Configure and maintain Kibana dashboards and visualizations
• Set up and manage Logstash for data ingestion
• Deploy and configure  Elastic  Agents and Fleet Server
• Create ETL processes using Ingest Pipelines
• Implement and maintain OSQuery for system monitoring
• Perform Elasticsearch administration tasks including:

• • Cluster management
  • Performance tuning
  • Disaster recovery planning and implementation
  • Security configuration and access control
  • Monitoring and alert setup

• Manage Elasticsearch deployments in Azure/Cloud environments
• Write supporting code in Python and JavaScript as needed

Requirements

• 3+ years of experience with Elasticsearch and the  Elastic  Stack
• Strong understanding of data modeling concepts in Elasticsearch
• Proficiency with Elasticsearch DSL for complex query development
• Experience with Kibana for data visualization and dashboard creation
• Knowledge of Logstash configuration and data transformation
• Experience with  Elastic  Agent and Fleet Server deployment
• Proven ability to develop ETL processes using Ingest Pipelines
• Familiarity with OSQuery for endpoint monitoring
• Demonstrated expertise in Elasticsearch administration:

• • Cluster management and scaling
  • Performance tuning and optimization
  • Disaster recovery implementation
  • Security configuration and access control
  • Monitoring and alerting setup

• Experience deploying and managing Elasticsearch in Azure or other cloud environments
• Programming skills in Python and JavaScript
• Strong problem-solving abilities and attention to detail

Preferred Qualifications

• Elastic  Certified Engineer certification
• Experience with high-volume, high-performance search applications
• Knowledge of security best practices for Elasticsearch deployments
• Experience with CI/CD pipelines for Elasticsearch  configurations
• Familiarity with containerization technologies (Docker, Kubernetes)
• Background in log analytics or SIEM implementations