Role Overview :

We are seeking an experienced ELK Developer with deep expertise in the Elastic Stack to design, implement, optimize, and maintain enterprise-scale logging, monitoring, and analytics solutions.

The role involves working on complex distributed environments, integrating ELK with enterprise systems, and supporting large-scale data ingestion, search, and visualization use cases across global projects.

Key Responsibilities :

- Design, build, deploy, maintain, and enhance enterprise-grade ELK Stack platforms (Elasticsearch, Logstash, Kibana, Filebeat, Ingest Pipelines).

- Install, configure, and manage Elasticsearch clusters in production environments with high availability and scalability.

- Develop and manage Elasticsearch indices, mappings, templates, and lifecycle management policies (ILM).

- Create advanced Kibana dashboards, visualizations, and reports for monitoring, analytics, and business insights.

- Configure and optimize Logstash pipelines for data ingestion, parsing, filtering, enrichment, and transformation.

- Work extensively with Beats (Filebeat, Metricbeat, etc.) for log and metric collection.

- Troubleshoot and resolve complex issues related to data ingestion, indexing, search performance, and visualization.

- Perform capacity planning and sizing for Elasticsearch clusters to support high-volume data workloads.

- Apply fine-tuning techniques for bulk indexing, query optimization, and cluster performance.

- Enhance open-source ELK capabilities to support custom business or operational requirements.

- Integrate ELK with enterprise tools, platforms, and APIs (i.e., authentication, authorization, monitoring, alerting systems).

- Implement and manage security features, including role-based access control, authentication, and authorization plugins.

- Monitor ELK stack health and performance, identify bottlenecks, and implement optimization strategies.

- Follow and implement best practices for ELK deployment, configuration, backup, and maintenance.

- Support CI/CD pipelines and DevOps processes related to ELK stack deployments.

- Document architectures, configurations, operational procedures, and troubleshooting guides.

- Stay current with new Elastic Stack releases and features; recommend improvements and enhancements.

- Mentor junior engineers and provide technical guidance on ELK stack best practices.

Required Skills & Qualifications :

- 7-10 years of overall IT experience with strong hands-on expertise in Elastic Stack.

- Deep knowledge of :

Elasticsearch
Logstash
Kibana
Filebeat and other Beats
Ingest Pipelines

- Strong proficiency in Elasticsearch Query DSL for complex data retrieval and analysis.

- Solid understanding of log management concepts, data parsing, enrichment, and normalization.

- Experience in ELK performance tuning, optimization, and scalability.

- Hands-on experience with plugin usage or development, including authentication and authorization plugins.

- Strong troubleshooting and root cause analysis skills in distributed systems.

- Understanding of CI/CD, DevOps, and operational best practices.

- Experience working in Linux-based environments.

- Strong communication skills and ability to work with cross-functional and global teams