ELK Observability Lead

Role Description

The ELK Observability Lead will be responsible for spearheading the design, implementation, and continuous enhancement of the ELK Stack (Elasticsearch, Logstash, Kibana) to provide comprehensive enterprise-wide observability, logging, and monitoring capabilities. This role involves owning the observability strategy and collaborating with cross-functional teams to translate operational requirements into scalable dashboards, alerts, and reporting solutions.

• Lead the design, implementation, and ongoing enhancement of the ELK Stack (Elasticsearch, Logstash, Kibana) to deliver enterprise-wide observability, logging, and monitoring capabilities.
• Own the observability strategy by collaborating with cross-functional teams to translate business and operational requirements into scalable dashboards, alerts, and reporting solutions for diverse stakeholders.
• Drive performance optimization and reliability of the ELK platform, including proactive monitoring, troubleshooting, and fine-tuning of Elasticsearch clusters for high-volume data ingestion, storage, and retrieval.
• Oversee the development and governance of data ingestion pipelines using Logstash and other tools, ensuring robust, scalable, and reliable data flow from multiple heterogeneous sources.
• Enable advanced observability use cases by delivering meaningful analytics and intuitive data visualizations in Kibana to support IT operations, incident response, and business insights.
• Establish and enforce best practices for security, data governance, access control, and compliance within the ELK ecosystem.
• Act as a technical leader and SME for observability, mentoring team members, driving capability building, and providing guidance on ELK best practices and modern observability approaches.
• Work closely with DevOps, SRE, and application teams to integrate observability into CI/CD pipelines and ensure end-to-end visibility across systems and services.

Qualifications

• 10+ years of experience

Requirements

• Elasticsearch (Expert level)
• Distributed Architecture & Cluster Design
• Search & Index Optimization (Query DSL, Aggregations)
• Performance Tuning & Scaling
• ILM, Data Streams, Sharding Strategy
• Digital : Elastic Search

Preferred Skills

• Prior experience in AIOps, ITOM, or observability solutions.
• Familiarity with scripting and automation (e.g., Python, Bash).
• Knowledge of infrastructure-as-code tools like Terraform or Ansible.