About the role
We are looking for an experienced ELK Cloud SaaS Engineer with a strong background in the ELK Stack (Elasticsearch, Logstash, Kibana) and Grafana. The ideal candidate should have hands-on experience migrating and implementing ELK solutions in a Cloud SaaS environment and optimizing observability frameworks for enterprise applications.
Responsibilities:
- ELK Cloud Migration and Implementation: Lead end-to-end ELK Cloud SaaS migrations, ensuring seamless integration and scalability.
- Observability and Monitoring: Design and implement logging, monitoring, and alerting solutions tailored for cloud-based architectures.
- Kibana and Grafana Dashboards: Develop advanced real-time visualizations and dashboards for enhanced system performance tracking.
- Log Ingestion and 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 and Compliance: Implement role-based access controls, encryption, and security best practices for ELK Cloud deployments.
- Incident Response and Troubleshooting: Set up proactive alerting systems and troubleshoot issues in real-time.
Requirements:
- 3+ years of hands-on experience with ELK Stack and 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).