Overview
Remote
$30 - $40
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Elastic Engineering developer
Elastic Engineering
data models for Elasticsearch
Elasticsearch's Domain Specific Language (DSL)
Domain Specific Language (DSL)
Elastic Agents
Fleet Server
Cluster management
Python
JavaScript
Elasticsearch DSL
Elastic Stack
CI/CD pipelines
Job Details
ROLE: Elastic Engineering developer
DURATION: _ 12mo
REMOTE: _ Remote, Offshore prefered
RATE (c2c): _ Your best rate - Near Shore Canada/Mexico not to exceed $40
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
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