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Elastic Search Architect
Elastic Search ArchitectSunrise Systems • Oakland, California, United States
Elastic Search Architect

Elastic Search Architect

Sunrise Systems • Oakland, California, United States
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Job Title : Elastic Search Architect

Contract Duration : 9+ months

Job Location : Oakland, CA 94612

Note : Hybrid. 3 days a week working from onsite.

Job Description :

  • 12+ years of experience as ELK Architect / Elastic Search Architect
  • Hands-on experience on ELK implementation and administration
  • Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON / YAML / XML payloads & testing POSTMAN, etc.
  • Design and implement efficient log shipping and data ingestion processes.
  • In-depth knowledge about Enterprise logging and analytics.
  • Design and implement efficient log shipping and data ingestion processes.
  • Implement and configure components of the Elastic Stack, including, Filebeat, Metricsbeat, Winlogbeat, Logstash and Kibana.
  • Create and maintain comprehensive documentation for Elastic Stack configurations and processes.
  • Ensure seamless integration between various Elastic Stack components.
  • Advance Kibana dashboards and visualizations modelling, deployment
  • Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search, and query performance tuning, RBAC security governance, and administration.
  • Hands-on Scripting & Programming in Python, Ansible, bash, data parsing (regex), etc
  • Experience with Security Hardening & Vulnerability / Compliance, OS patching, SSL / SSO / LDAP
  • Understanding of HA design, cross-site replication, local and global load balancers, etc
  • CI / CD - Deployment pipeline experience (Ansible, GIT)
  • Strong knowledge of performance monitoring, metrics, capacity planning, and management
  • Ability to apply a systematic & creative approach to solve problems, out-of-the-box thinking with a sense of ownership and focus.
  • Experience with application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships, etc.
  • Familiarity with Confluence and JIRA.
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