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ELK LEAD - Elastic Search Developer

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Job Description

Roles & Responsibilities:

  • Design, build, deploy, and maintain ELK stack solutions (Elasticsearch, Logstash, Kibana, Filebeat)
  • Install, configure, and enhance ELK platforms for enterprise-scale applications
  • Develop and manage Elasticsearch indices, APIs, and Kibana dashboards
  • Implement and optimize data ingestion pipelines using Logstash and Beats
  • Troubleshoot complex issues related to data ingestion, storage, search, and visualization
  • Integrate ELK stack with enterprise tools and APIs for authentication and authorization
  • Perform capacity planning and scalability design for Elasticsearch clusters
  • Optimize performance through fine-tuning of indexing, querying, and resource utilization
  • Monitor system performance, identify bottlenecks, and implement optimization strategies
  • Enhance open-source ELK capabilities to meet custom business requirements
  • Implement CI/CD practices for deployment and operations of ELK solutions
  • Document configurations, solutions, and troubleshooting procedures
  • Mentor junior team members and promote best practices in ELK technologies
  • Stay updated with latest ELK ecosystem developments and recommend improvements

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Open to candidates from:
Indian

About Company

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers. Apptad is relentlessly reinventing the outlook of how companies leverage data.

With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Job ID: 145631691