Senior Elasticsearch Engineer
11 hours ago
Experience in designing and building solutions across multiple use cases on the Elastic stack - Elasticsearch, Kibana, Logstash, and Beats.
Understanding of Elastic architectures and scalability for volume, redundancy, and performance scaling including techniques such as replicas and sharding.
Experience using the Elasticsearch Search API and Query DSL to deliver highly performant custom UIs in varying languages (e.g. Node.js, Java, .NET).
Defining ingest nodes and pipelines to index, transform and enrich structured and unstructured data types from Enterprise and Cloud data sources (HTTP, Filesystem, Logs etc).
Experience with security integration (Role-based Access Control against Enterprise Data Repositories, Authentication, Encryption) in an Elasticsearch environment.
Experience with evaluating existing Elastic deployments and identifying optimizations in terms of indexing, search and query performance tuning, security, and administration.
Knowledge of Elasticsearch architectures for different scenarios (e.g. Search vs Time Series, Single Region vs Multi-Region) and best practice in each scenario.