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Advanced ELK Engineer
2 weeks ago
Key Responsibilities include designing advanced ELK Stack solutions for log and data analysis, implementing efficient log ingestion pipelines using Logstash, managing Elasticsearch clusters, creating complex Kibana dashboards, configuring alerting mechanisms, and optimizing ELK Stack performance. Additionally, the successful candidate will develop and implement advanced scaling strategies, integrate ELK Stack with various data sources, and create detailed documentation on ELK Stack configurations.
The Requirements for this role are 5+ years of experience in observability engineering with a focus on ELK, proficiency in Elasticsearch, Logstash, Kibana, scripting languages (e.g., Python, Shell), and solid knowledge of Linux operating system. A Bachelor's degree in computer science, Information Technology, or a related field is also required.