Tekgence Inc

ELK Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ELK Engineer in Las Vegas, NV, with a contract length of unspecified duration and a competitive pay rate. Key skills include ELK stack management, Elasticsearch optimization, and Infrastructure as Code. Experience with data ingestion and Kibana dashboards is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
July 18, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Las Vegas, NV
-
🧠 - Skills detailed
#Documentation #Visualization #Indexing #Data Storage #Ansible #Elasticsearch #Data Processing #Logstash #Monitoring #Data Ingestion #Security #Web Services #Deployment #Data Pipeline #Data Integrity #Infrastructure as Code (IaC) #Storage #Scala
Role description
Job Title: : ELK Engineer Location: Las Vegas, NV Email your Resume at - anchal.singh@tekgence.com Job Description Role: - ELK Engineer Descriptions: ELK Developer experience: ELK Developer designs, implements, and manages the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards. Key responsibilities include configuring Logstash for data processing, optimizing Elasticsearch for data storage and retrieval, developing Kibana dashboards for insights, and ensuring the system's performance, security, and high availability. Essential Job Functions: Design and Development - Create and maintain scalable ELK stack solutions for log ingestion, processing, and analysis. Log Management - Configure and manage Logstash to parse and enrich log data from various sources. Data Ingestion - Work with components like Filebeat, Metricbeat, and Winlogbeat for data collection. Kibana Dashboards - Build and manage interactive Kibana dashboards for real-time monitoring and analytics. Performance Tuning - Monitor and optimize the performance, scalability, and resilience of the ELK stack. Troubleshooting - Resolve complex issues related to data indexing, querying, and visualization within the ELK environment. Data Integrity & Security - Ensure data integrity and implement security measures for the ELK infrastructure. Infrastructure as Code - Deploy and manage Elastic clusters using tools like Ansible. Integration - Integrate the ELK stack with other systems and data sources through APIs and web services. Documentation - Maintain detailed documentation for configurations, deployments, and operations.