Senior Elasticsearch Observability engineer
Role Overview
Seeking a Senior Elasticsearch Observability Engineer with strong hands-on experience managing Elasticsearch clusters and observability environments in production.
Focus areas include Elasticsearch administration, scalability, security, observability, Elastic ML, automation, and enterprise integrations.
Key Skills for This Role
Full Job Posting
Job summary
Seeking a Senior Elasticsearch Observability Engineer with strong hands-on experience managing Elasticsearch clusters and observability environments in production.
Focus areas include Elasticsearch administration, scalability, security, observability, Elastic ML, automation, and enterprise integrations.
Elasticsearch administration
- Design, deploy, and manage Elasticsearch clusters across development, staging, and production environments.
- Plan cluster scaling, including shard allocation, node sizing, and Index Lifecycle Management (ILM).
- Act as the primary technical escalation point for Elasticsearch issues across teams.
Security
- Apply security hardening practices for Elasticsearch environments.
- Manage Role-Based Access Control (RBAC).
- Manage TLS certificates and related security configurations.
Observability and monitoring
- Establish Service Level Objective (SLO) monitors in Kibana Observability.
- Link SLO breaches to incident management workflows.
- Integrate observability environments with company solutions.
- Document and maintain alerting runbooks for consistent responses to common alert conditions.
Elastic ML
- Implement and maintain Elastic ML-powered outlier detection, regression, and classification features.
- Use the Data Frame Analytics API.
Infrastructure and automation
- Work with container orchestration platforms such as Kubernetes.
- Perform Linux/Unix system administration.
- Apply networking fundamentals and storage optimization.
- Develop automation and operational tooling using Python, Bash, or similar scripting languages.
Experience and technical background
- Strong hands-on experience managing Elasticsearch clusters and observability environments in production.
- Experience across Elasticsearch administration, scalability, security, observability, Elastic ML, automation, and enterprise integrations.
- Technical background includes Kubernetes, Linux/Unix administration, networking, storage optimization, and scripting.
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