Elastic Stack Enginner

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.

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.