Elastic Observability Architect
Architect, configure, and manage the ELK Stack to support logging, monitoring, and observability needs across the enterprise.
Collaborate with cross-functional teams to understand business requirements and design dashboards, alerts, and reports for various stakeholders.
Optimize and troubleshoot ELK performance, including tuning Elasticsearch for efficient storage and retrieval of large datasets.
Develop and implement data pipelines with Logstash and other ingestion tools, ensuring reliable data flow from diverse data sources.
Enable advanced analytics and data visualizations in Kibana to provide actionable insights for IT operations.
Implement security, access controls, and best practices within the ELK environment.
Train and mentor team members on ELK best practices and provide technical support as needed.
Elasticsearch / Elastic Stack (Expert level)
- Distributed Cluster Design & Architecture
- Indexing, Sharding & Query DSL (deep expertise)
- Performance Tuning & Optimization
- Large-scale data handling (logs, metrics, search)
- High Availability (HA) & Disaster Recovery (DR)
- Index Lifecycle Management (ILM) & Data Streams
- Troubleshooting & Production Support (cluster, latency issues)
- System Design & Architecture ownership
- Leadership (technical guidance, design reviews, mentoring)
Logstash, Beats, Kafka or similar ingestion tools
- Kibana dashboards and monitoring
- Cloud platforms (AWS/Azure/Google Cloud Platform)
- Docker and Kubernetes
- CI/CD and Infrastructure as Code (Terraform/Ansible)
- Security (RBAC, TLS)
- Programming/scripting (Python/Java)
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