ElasticSearch/OpenSearch Engineer

Requirements:

• Strong hands-on experience with ElasticSearch / OpenSearch (architecture, APIs, performance tuning).
• Proven experience managing large clusters with high data volume (10+ TB).
• Deep understanding of ILM, rollover, snapshot/restore, and mapping design.
• Experience with Elastic Cloud or Kubernetes-based deployments (ECK).
• Solid understanding of CI/CD and experience with Azure DevOps.
• Basic knowledge of .NET for application integration.

Nice-to-Have:

• Experience with vector search (kNN, dense_vector).
• Knowledge of Elastic cost optimization and data retention optimization.
• Familiarity with observability stacks and APM.

Key Responsibilities:

• Maintain/Optimize large ElasticSearch / OpenSearch clusters (self-managed or Elastic Cloud).
• Design and maintain index lifecycle management (ILM), rollover, and snapshot strategies.
• Troubleshoot and resolve performance issues (heap, shard sizing, mappings, queries, cluster stability).
• Implement and maintain monitoring and alerting (Kibana, Grafana, Prometheus).
• Optimize hot-warm-cold architecture for cost and performance.
• Work with Azure DevOps pipelines to automate deployment and configuration.
• Collaborate closely with backend and DevOps teams.
• Develop and maintain Logstash / Beats / Kafka ingestion pipelines.

About the Project:

We are looking for an experienced ElasticSearch / OpenSearch Engineer to manage and optimize large-scale clusters (tens of nodes, terabytes of data).

You will be responsible for ensuring search and analytics performance, implementing rollover and ILM strategies, and maintaining reliable indexing and ingestion pipelines.