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We are seeking an experienced ELK Engineer to design, implement, and maintain scalable log analytics and monitoring solutions using the Elastic Stack (Elasticsearch, Logstash, Kibana). The role requires strong Linux system administration skills and Python development experience to automate, integrate, and optimize observability platforms in enterprise environments (ACC).
Requirements:
Design, deploy, and manage ELK/Elastic Stack clusters in production environments
Ingest, parse, and normalize data using Logstash, Beats, and Elastic Agents
Perform Linux system administration tasks including performance tuning, security hardening, and troubleshooting
Develop Python scripts for automation, log processing, integrations, and monitoring
Optimize Elasticsearch indices, mappings, queries, and cluster performance
Implement dashboards and visualizations in Kibana for operational and business insights
Monitor cluster health, availability, and capacity planning
Handle upgrades, patches, and version compatibility for Elastic components
Work with application and infrastructure teams to onboard new log sources