Elastic Certified Engineer

Key Responsibilities

• Design, deploy, and manage Elasticsearch clusters (on-prem, cloud, or Elastic Cloud/ECK on Kubernetes)
• Build and maintain ingestion pipelines using Logstash, Beats, Elastic Agent, and ingest pipelines
• Design index mappings, templates, analyzers, and sharding/replication strategies
• Implement index lifecycle management (ILM), data tiers, snapshots, and backup/restore
• Tune query and indexing performance; troubleshoot cluster health, JVM, and memory issues
• Create Kibana dashboards, visualizations, alerts, and saved searches
• Implement security: RBAC, TLS, API keys, SSO/SAML/LDAP, audit logging
• Set up monitoring and alerting for cluster health and capacity planning
• Support observability and SIEM use cases (logs, metrics, APM, detection rules)
• Plan and execute upgrades, migrations, and reindexing with minimal downtime
• Document architecture and standards; mentor team members

Required Qualifications

• Elastic Certified Engineer certification (current)
• Hands-on experience with the Elastic Stack in production
• Strong knowledge of Elasticsearch internals: shards, segments, Lucene, relevance scoring
• Proficiency with Query DSL, aggregations, and ES|QL
• Experience with REST APIs and scripting (Python, Bash, or similar)
• Experience with Git .

Preferred Qualifications

• Elastic Certified Observability Engineer or Elastic Certified Analyst
• Experience with Elastic Security (SIEM), APM, or Fleet-managed agents
• Experience in Elastic Cloud
• Experience with vector search, semantic search, or hybrid search for AI/RAG use cases
• Knowledge of Kafka or other streaming platforms
• Experience with large-scale clusters (TB+ of data, high ingest rates)

Pay: ₹328,000.00 - ₹1,430,000.00 per year

Work Location: Remote