Elastic Observability Architect

Primary Responsibilities

• Architect, design, and manage enterprise-grade Elastic Stack (Elasticsearch, Logstash, Kibana) environments
• Implement scalable observability solutions for logging, metrics, and monitoring across multiple systems
• Design and optimize Elasticsearch clusters for performance, scalability, high availability, and disaster recovery
• Build and maintain data ingestion pipelines using Logstash, Beats, Kafka, or similar tools
• Develop advanced Kibana dashboards, visualizations, alerts, and reports for operational and business stakeholders
• Tune indexing strategies, shard allocation, and query performance for large-scale datasets
• Implement Index Lifecycle Management (ILM), data streams, and storage optimization strategies
• Ensure security best practices including RBAC, TLS encryption, and secure access controls
• Troubleshoot and resolve complex production issues including cluster health, latency, and garbage collection tuning
• Collaborate with infrastructure, DevOps, and application teams to define observability requirements
• Provide technical leadership, mentoring, and guidance on Elastic Stack best practices
• Participate in system design reviews and architectural governance for observability solutions

Required Skills & Experience

• Strong hands-on expertise in Elasticsearch and the Elastic Stack (expert level)
• Deep understanding of distributed systems, cluster architecture, indexing, sharding, and Query DSL
• Experience with large-scale log, metrics, and search data environments
• Strong expertise in performance tuning, optimization, and troubleshooting of Elasticsearch clusters
• Experience with high availability (HA) and disaster recovery (DR) architectures
• Proficiency in Logstash, Beats, and integration tools such as Kafka or similar streaming platforms
• Strong experience in Kibana dashboarding and observability solutions
• Cloud experience with AWS, Azure, or Google Cloud Platform
• Experience with Docker and Kubernetes in production environments
• Familiarity with CI/CD pipelines and Infrastructure as Code tools such as Terraform or Ansible
• Strong understanding of security frameworks including RBAC and TLS encryption
• Proficiency in scripting/programming languages such as Python or Java

Preferred Skills

• Experience building enterprise observability or APM solutions
• Exposure to SRE (Site Reliability Engineering) practices
• Experience in multi-tenant or multi-region Elasticsearch deployments
• Knowledge of hybrid cloud observability architectures

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