December 3
• 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.
• Proven experience 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.
Apply NowSeptember 25
Account Manager in a tech startup focusing on employer branding and ATS SaaS.