Responsibilities

- Design, develop, and maintain scalable search solutions using Elasticsearch.
- Create and optimize search indices, mappings, analyzers, and search queries.
- Develop advanced search features including full-text search, faceted search, autocomplete, filtering, and ranking.
- Configure and manage Elasticsearch clusters for high availability and performance.
- Implement data ingestion pipelines using Logstash, Beats, Kafka, or custom integrations.
- Integrate Elasticsearch with enterprise applications through REST APIs and microservices.
- Monitor cluster health, performance, and resource utilization.
- Troubleshoot indexing, query performance, and cluster-related issues.
- Develop dashboards and analytics solutions using Kibana.
- Implement security, role-based access, and compliance controls.
- Collaborate with application, data engineering, DevOps, and business teams.

Technical Requirement
- Technology->Enterprise Search->Elastic Search





Additional Responsibility
- Knowledge of design principles and fundamentals of architecture
- Understanding of performance engineering
- Knowledge of quality processes and estimation techniques
- Basic understanding of project domain
- Ability to translate functional/non functional requirements to systems requirements
- Ability to design and code complex programs
- Ability to write test cases and scenarios based on the specifications
- Valuable understanding of software development life cycle and agile methodologies
- Awareness of latest technologies and trends
- Logical thinking and problem solving skills along with an ability to collaborate

Educational Requirement
- MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

Service Line

Digital Experience

📌 Technology analyst (Hyderabad)
🏢 Infosys
📍 Hyderabad