What are the responsibilities and job description for the Elasticsearch Engineer (ELK) position at Zealogics.com?
Hybrid 3 days a week onsite
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:
1. Administer and optimize the Elastic Stack (Elasticsearch, Logstash, Kibana,Beats), focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine task and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash, Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot, diagnose and resolve issues related to Elasticsearch, Logstash, Kibana and related components.
14. Collaborate with cross functional teams to gather requirements and design elastic stack solution tailored to specific use cases.
Soft Skills
1. Good verbal and written communication skills.
2. Good analytical and problem-solving skills.
3. Good team player.
Rate range -$60-$65
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:
1. Administer and optimize the Elastic Stack (Elasticsearch, Logstash, Kibana,Beats), focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine task and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash, Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot, diagnose and resolve issues related to Elasticsearch, Logstash, Kibana and related components.
14. Collaborate with cross functional teams to gather requirements and design elastic stack solution tailored to specific use cases.
Soft Skills
1. Good verbal and written communication skills.
2. Good analytical and problem-solving skills.
3. Good team player.
Rate range -$60-$65
Salary : $60 - $65
