Elastic Stack Engineer (Saudi Nationality Only)

Job Summary:
We are looking for a skilled Elastic Stack Engineer to design, implement, and maintain Elastic Stack (ELK) solutions for large-scale data environments. The ideal candidate will have extensive experience in Elasticsearch, Logstash, Kibana, and Beats, with a strong background in data ingestion, indexing, and visualization.

Key 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.
Requirements

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.

Technical Skills:
Deep understanding of Elasticsearch architecture, including indices, shards, and replicas.
Experience in writing KQL/Lucene queries and designing visualizations.
Proficiency with Beats and Logstash for data collection and processing.
Experience running Elastic Stack in cloud environments.

Certifications:
Elastic Certified Engineer certification is a strong advantage