Elastic Stack Engineer

This role is for an Elastic Stack Engineer in Alpharetta, GA, for 12 months at $70/hr. Requires 7+ years of ELK Stack experience, knowledge of Ruby/Python, GIT, and Unix Shell scripting. Hybrid work model.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
640
🗓️ - Date discovered
January 25, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Alpharetta, GA
🧠 - Skills detailed
#Storage #Logstash #Kafka (Apache Kafka) #Elastic Stack #Deployment #Python #Monitoring #Ansible #Elasticsearch #Data Storage #Logging #Version Control #Scripting #Data Management #Data Ingestion #Grafana #Shell Scripting #GIT #Ruby #Unix #Scala #Visualization
Role description
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Job Title: ELK Engineer

Location: Alpharetta, GA. [Hybrid]

Duration: 12 Month of Project (Extension and conversion based on performance)

Pay Rate: $70/hr. $80/hr. on W2 (without benefit)

Qualifications
• 7+ years of experience with ELK Stack: ElasticSearch, Logstash, Kibana. Good to have Ruby and/or Python, GIT and Unix Shell scripting knowledge.

Responsibilities include:
• Administer and optimize the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), 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.

Soft Skills
• Good verbal and written communication skills.
• Good analytical and problem-solving skills.
• Good team player.