Elastic Stack Engineer: Scale, Dashboards & ETL

Advansys; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading technology company in Riyadh is seeking an experienced Elastic Stack Engineer to design and maintain ELK solutions for large-scale data environments. You will be responsible for managing deployments, optimizing Kibana dashboards, and ensuring high availability of Elasticsearch clusters. The ideal candidate has a minimum of 4 years in Elastic Stack management and proficiency in cloud implementations. Competitive compensation offered.

Qualifications

• Minimum of 4 years of experience in managing the Elastic Stack or similar technologies.
• Proven track record in managing large-scale clusters and designing advanced Kibana dashboards.

Responsibilities

• Design, configure, and manage Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments.
• Develop and optimize Kibana dashboards and visualizations for real-time monitoring and analytics.
• Build and maintain ETL pipelines for log and metric data using Logstash and Beats.
• Monitor and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.
• Troubleshoot performance issues related to data ingestion, indexing, and search queries.
• Implement security best practices, including role-based access control (RBAC) and data encryption.
• Collaborate with DevOps, Security, and Data teams to integrate Elastic solutions into broader infrastructure.
• Automate deployment and configuration using tools such as Ansible, Terraform, or Kubernetes.
• Support cloud-based Elastic Stack implementations on AWS, Azure, or GCP.

Skills

Elasticsearch

Kibana

Logstash

Beats

ETL pipelines

Cloud environments

Ansible

Terraform

Kubernetes

Job description

A leading technology company in Riyadh is seeking an experienced Elastic Stack Engineer to design and maintain ELK solutions for large-scale data environments. You will be responsible for managing deployments, optimizing Kibana dashboards, and ensuring high availability of Elasticsearch clusters. The ideal candidate has a minimum of 4 years in Elastic Stack management and proficiency in cloud implementations. Competitive compensation offered.