What are the responsibilities and job description for the ELK Certified Engineer position at S M Software Solutions Inc?
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Job Description:
We are looking for an experienced ELK Cloud SaaS Engineer with a strong background in ELK Stack (Elasticsearch, Logstash, Kibana) and Grafana. The ideal candidate should have hands-on experience in migrating and implementing ELK solutions in a Cloud SaaS environment and optimizing observability frameworks for enterprise applications.
Key Responsibilities:
Required Skills & Qualifications:
- JD for ELK with ELK Cloud SAAS based migrations and implementations.
- ELK certification is COMPULSORY
- Location: Remote (US)
Job Description:
We are looking for an experienced ELK Cloud SaaS Engineer with a strong background in ELK Stack (Elasticsearch, Logstash, Kibana) and Grafana. The ideal candidate should have hands-on experience in migrating and implementing ELK solutions in a Cloud SaaS environment and optimizing observability frameworks for enterprise applications.
Key Responsibilities:
- ELK Cloud Migration & Implementation: Lead end-to-end ELK Cloud SaaS migrations, ensuring seamless integration and scalability.
- Observability & Monitoring: Design and implement logging, monitoring, and alerting solutions tailored for cloud-based architectures.
- Kibana & Grafana Dashboards: Develop advanced real-time visualizations and dashboards for enhanced system performance tracking.
- Log Ingestion & Processing: Configure and optimize Logstash pipelines to manage structured and unstructured log data.
- Elasticsearch Performance Tuning: Optimize indexing, search, and cluster performance in a cloud environment.
- Security & Compliance: Implement role-based access controls, encryption, and security best practices for ELK Cloud deployments.
- Incident Response & Troubleshooting: Set up proactive alerting systems and troubleshoot issues in real-time.
Required Skills & Qualifications:
- 5 years of hands-on experience with ELK Stack & Grafana in large-scale cloud deployments.
- Expertise in ELK Cloud SaaS migrations and best practices.
- Strong knowledge of AWS/GCP/Azure logging and observability solutions.
- Experience with log pipeline management (Logstash, Fluentd, Kafka, etc.).
- Proficiency in writing and optimizing Elasticsearch queries for analytics.
- Hands-on experience with Terraform, Ansible, or Kubernetes for cloud automation (preferred)
