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Elastic Search Engineer

Salary undisclosed

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We are looking for ELK Architect/ Elastic Search Architect

MUST HAVE SKILLS:

  • Extensive ELK 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.

SKILLS:

  • 12+ years of experience in Solutions and/or Application Architecture
  • Design and implement efficient log shipping and data ingestion processes.
  • Collaborate with development and operations teams to enhance logging capabilities.
  • 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
  • Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN, 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.
  • Influencing other teams and engineering groups in adopting logging best practices.
  • Effective communication skills with the ability to articulate technical details to a different audience
  • Familiarity with Confluence and JIRA
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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