Elastic Observability Architect
Diverse Lynx
Job Description
Elastic Observability Architect
Elasticsearch / Elastic Stack (Expert level)
Logstash, Beats, Kafka or similar ingestion tools
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, GC, 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/GCP)
- Docker and Kubernetes
- CI/CD and Infrastructure as Code (Terraform/Ansible)
- Security (RBAC, TLS)
- Programming/scripting (Python/Java)
Vacancy posted 1 day ago
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