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Cliff Services Inc. in Philadelphia is seeking an Elastic Search Engineer to design and optimize data ingestion pipelines using Logstash and to tune Elasticsearch performance.
You will build Kibana dashboards, implement proactive alerts, and help secure the ELK stack, while monitoring cluster health and resource usage.
Candidates should be proficient with AWS/Azure/GCP, Docker, Kubernetes, and scripting with Python or Bash.
Pipeline & Cluster Management: Developing data ingestion pipelines using Logstash, alongside optimizing Elasticsearch performance, indexing, and data retention.
Monitoring & Security: Building Kibana visualizations, establishing proactive alerts, and ensuring system security.
Infrastructure Optimization: Monitoring and tuning resources, such as Query performance and Index Lifecycle Management.
ELK Proficiency: Deep knowledge of Elasticsearch, Logstash, Kibana (ELK).
System Knowledge: Experience with cloud platforms (AWS, Azure, GCP), Docker, and Kubernetes.
Automation & Data: Expertise in scripting (Python/Bash), automation tools (Ansible/Terraform), JSON, and KQL.
Proven Experience in Building Dashboard and monitoring alerts using ELK stack.
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