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Full-time
- The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
- This is a 100% remote, work-from-home position anywhere in the continental United States.
- Experience with cloud infrastructure and networking in AWS and/or Azure
- Experience with SOAR tools, Swimlane, Cyber Triage, Phantom
- Experience with the ELK (Elasticsearch, Logstash, Kibana) stack, Elastic Cloud on Kubernetes (ECK), Kafka, Beats, and/or Splunk
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