Description

You will build, maintain, and optimize the Elastic Stack environment for logging use cases.

This role is on-site.

Responsibilities

• Build and optimize Elasticsearch clusters for logging workloads.
• Implement Index Lifecycle Management (ILM), snapshots, and searchable snapshots.
• Design and maintain Hot-Warm-Cold architecture for data management.
• Automate deployment and configuration using Ansible.
• Troubleshoot issues across Elasticsearch, Kibana, and ingestion components.

Required Skills

• 5+ years of professional engineering experience.
• Deep expertise with the ELK Stack (Elasticsearch, Kibana).
• Proficiency in Python and Ruby for scripting and tooling.
• Experience managing data ingestion pipelines using Logstash and Beats.
• Strong command of configuration management tools like Ansible.
• Solid understanding of Git for version control.
• Experience configuring Grafana for monitoring and visualization.
• Ability to plan and execute Elastic Stack version upgrades.

Key Skills

Education

Any Gradute