Description

You will administer and optimize the Elastic Stack for logging use cases.

Responsibilities

• Administer and optimize the Elastic Stack (Elasticsearch, Logsstash, Kibana, Beats), focusing on logging use cases.
• Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage.
• Design and implement Hot-Warm-Cold architecture for scalable and cost-effective data management.
• Architect and size Elasticsearch clusters based on business requirements and performance needs.
• Automate deployment and configuration management using Ansible and write shell scripts to automate routine tasks.

Required Skills

• 7+ years of experience with ELK Stack: Elasticsearch, Logsstash, Kibana.
• Experience configuring index templates for consistency across indices.
• Ability to integrate Logsstash, Kafka, and Beats for data ingestion.
• Proficiency in troubleshooting and resolving issues across Elasticsearch, Logsstash, and Kibana.
• Experience utilizing Git for version control and collaborative configuration management.
• Familiarity with Unix Shell Scripting.
• Knowledge of Python and/or Ruby.

Key Skills

Education

Any Graduate