Jobs via Dice · 14 hours ago
ELK Stack Engineer, ElasticSearch, Logstash, Kibana, beats, GIT, Shell 12+ Mths Cont Alpharetta, GA
Alpharetta, GA
Full-time
Hybrid
Senior Level
7+ years expDice is the leading career destination for tech experts at every stage of their careers. Our client, Zen & Art, is seeking an ELK Stack Engineer to build, maintain, and optimize Elastic clusters focusing on logging use cases.
Computer Software
Responsibilities
Build, maintain and optimize Elastic clusters focusing on logging use cases
Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage
Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management
Configure index templates to ensure consistency and best practices across all indices
Architect and size Elasticsearch clusters based on business requirements and performance needs
Automate deployment and configuration management using Ansible
Write shell scripts to automate routine task and optimize operations
Utilize GIT for version control and collaborative configuration management
Plan and execute Elastic Stack version upgrades and patching with minimal downtime
Configure Grafana dashboards for monitoring and visualization of Elasticsearch data
Set up and manage alerting systems to monitor cluster health and performance
Integrate Logstash, Kafka and Beats for data ingestion and log forwarding
Troubleshoot, diagnose and resolve issues related to Elasticsearch, Logstash, Kibana and related components
Collaborate with cross functional teams to gather requirements and design elastic stack solution tailored to specific use cases
Qualification
Required
7+ years of experience with ELK Stack: ElasticSearch, Logstash, Kibana and beats
Build, maintain and optimize Elastic clusters focusing on logging use cases
Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage
Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management
Configure index templates to ensure consistency and best practices across all indices
Architect and size Elasticsearch clusters based on business requirements and performance needs
Automate deployment and configuration management using Ansible
Write shell scripts to automate routine task and optimize operations
Utilize GIT for version control and collaborative configuration management
Plan and execute Elastic Stack version upgrades and patching with minimal downtime
Configure Grafana dashboards for monitoring and visualization of Elasticsearch data
Set up and manage alerting systems to monitor cluster health and performance
Integrate Logstash, Kafka and Beats for data ingestion and log forwarding
Troubleshoot, diagnose and resolve issues related to Elasticsearch, Logstash, Kibana and related components
Collaborate with cross functional teams to gather requirements and design elastic stack solution tailored to specific use cases
Good verbal and written communication skills
Good analytical and problem-solving skills
Good team player
Preferred
Good to have Ruby and/or Python
GIT and Unix Shell scripting knowledge
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase