
Overview
- Performance AssuranceMumbai
No. Of Openings
1
Designation
Associate Test Lead
Closing Date
23 Sep 2025
MainBU
Reliability Engineering
Sub BU
Performance Assurance
Country
India
Region
India 1
State
Maharashtra
City
Mumbai
Working Location
Mumbai
Client Location
NA
Skill
Highest Education
No data available
CERTIFICATION
No data available
Working Language
No data available
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. – Experience with ELK stack performance tuning, optimization, and scalability.