Elk Developer

Maveric; Chennai District, Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Maveric is seeking an experienced ELK Engineer to design, deploy, and manage the Elastic Stack on Oracle Kubernetes Engine (OKE) using Helm charts. You will build scalable, secure log analytics and observability for enterprise apps.

Key responsibilities include deploying ELK on OKE, configuring log pipelines with Logstash and Beats, creating Kibana dashboards, and ensuring cluster reliability with backups and performance tuning. Strong Kubernetes and Linux skills are required.

Qualifications

• Strong hands-on experience with ELK Stack (Elasticsearch, Logstash, Kibana).
• Experience deploying and managing applications using Helm charts.
• Good 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.

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.

Skills

ELK Stack

Helm charts

Kubernetes

Linux administration

Shell scripting

CI/CD tools

Monitoring

Tools

Helm

Git

Job description

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

• Strong hands-on experience with ELK Stack (Elasticsearch, Logstash, Kibana).
• Experience deploying and managing applications using Helm charts.
• Good 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.