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ELK Developer

Job in 400001, Mumbai, Maharashtra, India
Listing for: QualityKiosk Technologies
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Security
Job Description & How to Apply Below
Total Experience – 7 to 10 Years

Job Location:

Mumbai (For 3 Months or whenever required he will travel to Overseas project)

Budget – 7 to 10 Years –20 LPA to 25 LPA

Initial 4 months in Saudi Arabia, followed by a USA visa opportunity on joining.

Job Description:

– Relevant experience in Elastic Stack (Elastic Search, Logstash, Kibana, Filebeat, Ingest Pipeline)

– Strong experience in installing and configuring ELK. Strong experience in Design, build, deploy, maintain, and enhance ELK platform

– Strong experience in using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash and Log Beats

- Good experience in using or creating plugins for ELK like authentication and authorization plugins

- Troubleshoot and resolve complex issues related to data ingestion, storage, search, and visualization within the ELK stack.

– Good experience in enhancing Open-source ELK for custom capabilities

– Experience in integrating ELK with enterprise tools and APIs, for example for authentication and authorization

– Capacity Planning of Elastic Search Cluster

– Fine-tuning techniques of bulk indexing and querying

– Implement best practices for ELK stack deployment, configuration, and maintenance.

– Solid understanding of continuous integration, deployment and operations concepts

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

– Stay up-to-date with the latest developments in the ELK stack ecosystem and recommend improvements or new features to enhance our offerings.

– Document solutions, configurations, and troubleshooting procedures for internal knowledge sharing and client support purposes.

– Mentor junior team members and provide guidance on ELK stack technologies and best practices.

– Proficiency in Elasticsearch query DSL (Domain Specific Language) for data retrieval and analysis.

– Solid understanding of log management, data parsing, and enrichment techniques using Logstash.

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Experience with ELK stack performance tuning, optimization, and scalability.
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