Coralogix
Coralogix is a company that provides a comprehensive observability platform designed to help businesses process, analyze, and make informed decisions based on large volumes of data. The platform offers a wide range of features including real-time log analytics, infrastructure monitoring, application performance monitoring (APM), and security information and event management (SIEM). Coralogix's solutions are equipped with advanced AI alerting, dashboards, and integrations with numerous platforms like AWS, Azure, GCP, and Kubernetes. Trusted by over 2,000 companies, Coralogix ensures enhanced visibility across frontend, backend, and infrastructure, enabling businesses to monitor and improve their system performance efficiently and cost-effectively.
Log analytics • Machine learning algorithms • SaaS • Big data • DevOps
Database Reliability Engineer
November 20, 2024
Ansible
Apache
AWS
Azure
Cloud
Distributed Systems
ElasticSearch
Google Cloud Platform
Grafana
Java
Kafka
Kubernetes
Prometheus
Scala
Terraform
Coralogix
Coralogix is a company that provides a comprehensive observability platform designed to help businesses process, analyze, and make informed decisions based on large volumes of data. The platform offers a wide range of features including real-time log analytics, infrastructure monitoring, application performance monitoring (APM), and security information and event management (SIEM). Coralogix's solutions are equipped with advanced AI alerting, dashboards, and integrations with numerous platforms like AWS, Azure, GCP, and Kubernetes. Trusted by over 2,000 companies, Coralogix ensures enhanced visibility across frontend, backend, and infrastructure, enabling businesses to monitor and improve their system performance efficiently and cost-effectively.
Log analytics • Machine learning algorithms • SaaS • Big data • DevOps
📋 Description
• Work closely with development and operations teams to build robust and efficient systems. • Manage & Monitor: Oversee the performance, reliability, and availability of large-scale Elasticsearch/OpenSearch clusters. • Optimize & Scale: Implement best practices for scaling, indexing, and querying to ensure optimal performance. • Automate & Streamline: Develop and maintain automated performance testing or benchmarking, monitoring, and alerting for Elasticsearch/OpenSearch clusters. • Troubleshoot & Resolve: Quickly identify and resolve issues related to cluster health, data integrity, performance bottlenecks, and search accuracy. • Collaborate: Work closely with development, DevOps, and other teams to design and implement enhancements to cluster architecture, stability, performance, and data management flows.
🎯 Requirements
• Proven experience as an DBRE or in a similar role, with specific expertise in managing Elasticsearch or OpenSearch clusters. • Strong knowledge of Elasticsearch/OpenSearch architecture, including index management, sharding, and replication. • Experience with performance tuning, scaling, and cluster optimization. • Understanding of JVM concepts and ability to code with Java or Scala. • Familiarity with monitoring tools (e.g., Prometheus, Grafana). • Experience with configuration management and automation tools (e.g., Ansible, Terraform, Kubernetes). • Ability to diagnose and troubleshoot complex performance and stability issues in large-scale distributed systems. • Strong verbal and written communication skills to collaborate across teams and document processes clearly. • Familiarity with other distributed systems (e.g., Apache Solr, Kafka). • Knowledge of CI/CD pipelines and experience with DevOps practices. • Experience with cloud providers (AWS, Azure, GCP).
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