Job Openings >> ELK Sr. Engineer or Elastic Stack Sr. Developer - Atlanta, GA
ELK Sr. Engineer or Elastic Stack Sr. Developer - Atlanta, GA
Summary
Title:ELK Sr. Engineer or Elastic Stack Sr. Developer - Atlanta, GA
ID:71794
Location:Atlanta, GA
Department:Information Technology
Description

For one of our long-term multiyear projects, we are looking for a ELK Sr. Engineer or Elastic Stack Sr. Developer out of Atlanta, GA.
Role: Responsibilities

  • Architect, design, develop, deploy, and maintain the enterprise logging platform using ELK.
  • Contribute in design understanding the architectural tradeoffs including Scalability, Resiliency, High Availability and Security Perform capacity planning and solution review related to the ELK environment.
  • Implement solutions to analyze business data and architect data structures using Elastic Search
  • Develop and manage high volume data ingestions and real time data flow processes
  • Work with data log streaming platforms and tools to ingest data from systems, applications, and access logs.
  • Design and build multi-tenant dashboard solutions
  • Establish and maintain operational best practices for smooth operation of large Elastic solution.
  • Actively contribute to improving the ELK ecosystem.
  • Optimize and tune the ELK environment (File beat, logstash) to meet the performance requirements.
  • Partner with developers in building best practices for the data warehouse and analytics environment.
  • Investigate emerging Elastic advancements that relate to our customer's needs and implement those upgrades.

Basic Qualifications:

  • Bachelor's Degree (in Computer Science or related field) or equivalent, or 10 years of related experience in lieu of the degree
  • 6 years of programming required
  • 5+ years hands-on experience with data visualization/business intelligence
  • 5+ years hands-on experience with supporting Elasticsearch in production, handling medium to large clusters
  • Experience in setting up ELK Stack (Elasticsearch, Logstash, Kibana stack) to process data from multiple data sources
  • Experience with Kibana visualization strategies, controls and techniques
  • Experience with Elasticsearch index configuration options, sharding, aliases, etc.
  • Experience with Elastic API Integration
  • Experience with SQL and optimization of queries
  • Experience with CI/CD
  • Experience with buffering tools like Kafka, Redis
  • Exposure to Amazon Elastic Search, Elastic Cloud, Pivotal Cloud foundry
  • Understand the Security and Access management concept.

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