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Elastic Support engineer

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Role: Elastic Support engineer
Location: Plano TX & Mclean VA(Hybrid)
Experience: 7+

Job Key Responsibilities:
Design and implement ELK (Elastic Search, Logstash and Kibana) solutions.
Hand-on Experience in creating and managing index s in Elasticsearch based on requirements.
Hands-on experience in writing JSON queries to select/insert/update/delete data in Elasticsearch.
You have extensive experience in at least one of the pillars of observability: Logs, Metrics, APM, Synthetic Monitoring or Profiling
Designing and implementing solutions for centralized logs, infrastructure and health metrics, distributed tracing for different applications.
Hands-on experience on both on-prem and cloud instances
Fine tune bulk load process.
Provide Elastic Search tuning/optimizing based on application needs.
Create and troubleshooting Dashboard on KPIs.
Contribute to team design discussions with detailed technical information.
Develop code with quality, scalability, and extensibility.
Provide work breakdown and estimates for new requirements.
Identify strategic/tactical solutions and provide risk assessments and recommendations.
Influencing other teams and engineering groups in adopting logging best practices.
Troubleshooting problems, involving the appropriate resources and driving resolution of issues with a focus on minimizing impact to our customers.
Applying best practices for managing cluster, scaling and capacity planning.
Excellent verbal and written communication skills, a great teammate with strong analytical, problem solving, debugging and troubleshooting skills. Written skills are key to success in working with our distributed teams
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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