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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