ELK Engineer

The ELK Engineer will be responsible for the design and development of the Elastic Stack of tools that monitor and manage critical applications and infrastructure.

Primary Responsibilities:

• Strong experience with evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security and administration
• Strong experience with the full ELK Stack - Elasticsearch, Logstash, Kibana, Beat agents, Machine Learning, APM, X-Pack and REST API integration
• Must understand Data, building data pipelines
• Experience with designing Kibana dashboards and visualization
• Design and configure ETL data pipelines using Elastic Common Schema to onboard application logs and metrics Configure index templates and data life cycle management (ILM) for data retention
• Secure, maintain, optimize, document, design and build, Elastic Stack Enterprise solutions (Elasticsearch, Logstash, Kibana, Fluentd, and Beats)
• Develop Elastic alerting solutions using Watcher. Alerts that will have integrate into Jira or snow
• Develop Machine Learning (ML) job to dynamically monitor and alert on specific metrics and KPIs
• Follow life cycle processes to move solutions from Dev to QA to Production
• Hands-on with GROK pattern and regular expressions
• Participate in group sessions as well as attend and share in agile sprint daily meetings to track progress to ensure development of solutions is in support of the requirements
• Experience with developing in multiple languages (Ruby, Python, Bash, or other scripting languages)

Basic Qualifications:

• Bachelors with 5+ years of experience
• 3+ years of experience with Elastic Stack of tools (Elasticsearch, Logstash, Fluentd, Kibana, Beats)

Preferred Qualification:

• Experience with Kafka / Confluent
• Working knowledge of K8s
• Exposure of cloud platforms