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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). This job was posted by Careers Softility from Softility.
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