Senior Elasticsearch Observability engineer

About the Role

Emdad By Elm is seeking a Senior Elasticsearch Observability Engineer to join their team in Makkah, with locations in Jeddah and Makkah. This full-time role focuses on managing Elasticsearch clusters and observability environments in production, ensuring scalability, security, and integration with enterprise solutions.

Key Responsibilities

• Design, deploy, and manage Elasticsearch clusters across development, staging, and production environments.
• Plan and execute cluster scaling strategies, including shard allocation, node sizing, and Index Lifecycle Management (ILM).
• Serve as the primary technical escalation point for Elasticsearch-related issues.
• Apply security hardening practices for Elasticsearch environments, managing Role-Based Access Control (RBAC) and TLS certificates.
• Establish Service Level Objective (SLO) monitors in Kibana Observability and link SLO breaches to incident management workflows.
• Integrate observability environments with various company solutions and maintain alerting runbooks.
• Implement and maintain Elastic ML-powered features such as Outlier Detection, Regression, and Classification, utilizing the Data Frame Analytics API.
• Work with container orchestration platforms like Kubernetes and perform Linux/Unix system administration.
• Apply networking fundamentals and storage optimization techniques.
• Develop automation and operational tooling using Python, Bash, or similar scripting languages.

Qualifications and Experience

• Strong hands-on experience in managing Elasticsearch clusters and observability environments in production.
• Experience ranging from 5 to 10 years in a relevant field.
• Proficiency in Elasticsearch administration, cluster scalability, and security.
• Familiarity with Elastic ML capabilities and their implementation.
• Experience with automation and integration with enterprise solutions.

Technical Skills

• Elasticsearch administration and cluster management.
• Security hardening practices, RBAC, and TLS certificate management.
• Kibana Observability, SLO monitoring, and incident management integration.
• Elastic ML features: Outlier Detection, Regression, Classification, and Data Frame Analytics API.
• Container orchestration platforms (*, Kubernetes).
• Linux/Unix system administration.
• Networking fundamentals and storage optimization.
• Scripting languages: Python, Bash.

Work Type

This is a full-time position.

Application Process

Interested candidates are encouraged to apply. Salary details will be discussed during the interview process.