Azure devops-Elastic Search Professional

Job Summary

We are seeking an experienced Senior Elasticsearch Engineer with expertise in Microsoft Azure, Azure Kubernetes Service (AKS), and the Elastic Stack to design, implement, and manage highly available, scalable, and secure search and analytics platforms. The ideal candidate will have strong experience in Elasticsearch architecture, Kubernetes operations, cloud-native deployments.

Requirements

• Mandatory skill : Azure Cloud with ELK Stack(Elastic search and Kibana)

Responsibilities

• Design, deploy, and manage enterprise-scale Elasticsearch clusters on Microsoft Azure.
• Configure and optimize Elasticsearch clusters for performance, scalability, and high availability.
• Design efficient indexing strategies and mappings.
• Implement Index Lifecycle Management (ILM), snapshot policies, and disaster recovery strategies.
• Integrate Elasticsearch with applications developed in Java, . NET, Python, or Node. js.
• Secure Elasticsearch using X-Pack/Elastic Security, RBAC, TLS/SSL, Azure Key Vault, and Azure Active Directory (Entra ID) integration(OIDC Auth).
• Monitor cluster health using Kibana.
• Troubleshoot cluster performance, shard allocation, memory utilization, and query latency.

Elasticsearch

• Elasticsearch 8. x
• Cluster administration
• Index lifecycle management (ILM)
• Snapshot and Restore
• Performance tuning
• Sharding Replication
• Index Templates

Elastic Stack

• Kibana
• Logstash
• Beats
• Elastic Security

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.