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Job Summary:
We are looking for an experienced Elasticsearch Specialist with 10+ years of IT experience and strong expertise in designing, implementing, and managing large-scale Elasticsearch clusters. The ideal candidate will have deep knowledge of ELK Stack (Elasticsearch,
Logstash, Kibana), performance tuning, data ingestion pipelines, and large-scale search/analytics platforms.
The candidate will work closely with DevOps, Security, and Engineering teams to build highly scalable, secure, and reliable observability and search platforms.
Key Responsibilities:
- Design, implement, and manage large-scale Elasticsearch clusters in production environments.
- Develop and optimize data ingestion pipelines using Logstash, Beats, and other data collectors.
- Perform cluster performance tuning, index optimization, and query optimization.
- Implement high availability, scalability, and disaster recovery strategies for Elasticsearch.
- Monitor cluster health and troubleshoot issues related to performance, indexing, and search latency.
- Work on data parsing, transformations, and enrichment using Grok, ingest pipelines, and scripting.
- Automate Elasticsearch deployments using Ansible, Terraform, or other automation tools.
- Integrate Elasticsearch with cloud platforms (AWS / Azure / GCP).
- Implement security features such as RBAC, encryption, and authentication.
- Collaborate with development teams to design efficient search and analytics solutions.
- Maintain Kibana dashboards and visualizations for monitoring and analytics.
- Provide technical leadership and mentor junior engineers.
Required Skills & Experience
- 10+ years of overall IT experience.
- 5+ years of hands-on experience with Elasticsearch.
- Strong expertise in ELK Stack (Elasticsearch, Logstash, Kibana).
- Experience in index design, shard management, and cluster scaling.
- Strong knowledge of data parsing using Grok, Regex, and Logstash pipelines.
- Experience with automation tools like Ansible, Terraform, or scripting.
- Experience with Linux system administration.
- Strong understanding of REST APIs and JSON data structures.
- Experience in performance tuning and troubleshooting Elasticsearch clusters.
- Experience working with large data volumes (TB scale).
Preferred Skills
- Experience with Elastic Stack Security features.
- Experience with Observability platforms and log analytics solutions.
- Experience with On-premises AWS / Azure / GCP deployments.
- Knowledge of Kafka, Fluentd, or other data streaming tools.
- Certification in Elastic technologies is a plus.
Soft Skills
- Strong problem-solving and analytical skills.
- Ability to work in fast-paced production environments.
- Excellent communication and collaboration skills.
- Ability to lead technical discussions and architecture decisions.
Nice to Have
- Experience in Security analytics or SIEM platforms.
- Experience building large-scale observability platforms.
Should design and operate data pipe lines.
Build and manage analytics platform using Elastic search, Redshift, Mongo db.
Strong programming fundamentals in Datastructures and algorithms.
- ELK (Elasticsearch, Logstash Kibana) Administration and Implementation.
- Experience on implementing the Syslog NG on Unix/Linux Platform.
- Experiance in Information/Cyber Security


