Infosys
Elastic Search Developer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Hybrid
Published on:
13 August 2026
What they need
Experience: 6-8 Years
Location: Bangalore/Hybrid
Employment Type: Full-Time
Job Summary
We are seeking an experienced Elasticsearch Developer with 6-8 years of hands-on experience in designing, developing, and optimizing enterprise search solutions. The ideal candidate should possess strong expertise in Elasticsearch, search relevance tuning, indexing strategies, query optimization, and distributed systems.
Key Responsibilities
- Design, develop, and maintain scalable search solutions using Elasticsearch.
- Build and optimize indexing pipelines for structured and unstructured data.
- Develop advanced search capabilities including full-text search, faceted search, filtering, autocomplete, and relevancy tuning.
- Monitor and improve search performance, cluster health, and query response times.
- Configure and manage Elasticsearch clusters in production environments.
- Implement data ingestion pipelines using Logstash, Beats, Kafka, or custom ETL processes.
- Work closely with application development teams to integrate Elasticsearch APIs.
- Perform capacity planning, cluster scaling, backup, and disaster recovery activities.
- Troubleshoot indexing, mapping, shard allocation, and performance issues.
- Ensure security, access control, and compliance across Elasticsearch deployments.
Required Skills
6-8 years of software development experience with at least 4+ years of Elasticsearch experience.
Strong expertise in Elasticsearch, Kibana, Logstash, and the ELK Stack.
Experience with Elasticsearch cluster administration and performance tuning.
Strong understanding of:
Indexing strategies
Mappings and analyzers
Sharding and replication
Aggregations and Query DSL
Search relevance tuning
Experience with REST APIs and microservices architecture.
Strong programming skills in Java, Python, or Node.js.
Experience with Kafka, Redis, or other messaging/caching platforms.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Experience working with Docker and Kubernetes.
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