Experienced ELK Engineer to design, deploy, and manage the Elastic Stack (Elasticsearch, Logstash, Kibana) on Oracle Kubernetes Engine (OKE) using Helm charts. The candidate will be responsible for implementing scalable, highly available, and secure log analytics and observability solutions for enterprise applications.

Key Responsibilities
Deploy and manage Elasticsearch, Logstash, and Kibana on OKE using Helm charts.
Configure and optimize log ingestion pipelines using Logstash and Beats.
Implement monitoring, alerting, and visualization dashboards in Kibana.
Manage Elasticsearch cluster scaling, performance tuning, backup, and recovery.
Configure Kubernetes resources, storage, ingress, and security for ELK workloads.
Integrate ELK with containerized applications running on OKE.
Automate deployments and upgrades using CI/CD pipelines.
Troubleshoot logging, indexing, and cluster performance issues.

Required Skills




Robust hands-on experience with ELK Stack (Elasticsearch, Logstash, Kibana).
Experience deploying and managing applications using Helm charts.
Positive understanding of Oracle Kubernetes Engine (OKE) or other Kubernetes platforms.
Experience with Kubernetes concepts including Pods, StatefulSets, Services, Ingress, and Persistent Volumes.
Knowledge of Linux administration and shell scripting.
Familiarity with monitoring and observability tools.
Experience with Git and CI/CD tools.

Preferred Skills
Experience with Elastic Cloud on Kubernetes (ECK).
Knowledge of Oracle Cloud Infrastructure (OCI).
Experience with Prometheus, Grafana, and Fluent Bit/Filebeat.
Understanding of security, TLS, RBAC, and Kubernetes networking.

📌 Elk Developer Chennai
🏢 Maveric
📍 Chennai