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Elastic Search Developer

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Hybrid

Elastic Search Developer

Infosys

Elastic Search Developer

Skills

Google Cloud PlatformDockerNodePythonJavaMicroservicesKafkaRedisAWSElasticsearchKubernetesELK StackComplianceAzure

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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