The role involves designing and operating scalable Elastic Stack solutions for comprehensive log, metric, trace, and event observability
Job Summary
The role involves designing and operating scalable Elastic Stack solutions for comprehensive log, metric, trace, and event observability.
Candidates will be responsible for managing production enterprise ELK clusters including security, performance tuning, and index lifecycle management.
The position requires integrating diverse observability tools like Prometheus, Grafana, and Dynatrace to enable unified monitoring across AWS workloads.
Matching Summary
Match Score: 85
The role involves designing and operating scalable Elastic Stack solutions for comprehensive log, metric, trace, and event observability.
Skills & Requirements
Must-have
Elasticsearch Logstash Kibana ELK stack
Log ingestion parsing Grok patterns
AWS infrastructure monitoring EC2 Lambda
Elastic Machine Learning anomaly detection
Kibana dashboard visualization Lens Canvas
Prometheus Grafana Dynatrace integration
Python scripting automation DevSecOps
Nice-to-have
Elastic AI Assistant LLM integrations
RAG Graph Databases OTEL concepts
Topology mapping service dependency visualization
Erlang Java MQ application architecture
Advanced watcher scripts alert rules
Stakeholder engagement communication skills
High level commitment to delivery outcomes
Key Requirements
Strong hands-on experience with Elasticsearch Logstash Kibana
Experience managing production enterprise ELK clusters
Good understanding of AWS services relevant to observability
Familiarity with Rest API AI ML LLMs RAG
Strong scripting and automation skills in Python
Experience with CI/CD pipelines for deployment automation
Certifications: Elastic Certified Observability Engineer or AWS Solution Architect (plus)