Senior Advanced Search Developer

10 hours ago

Varanasi, Uttar Pradesh, India beBeeSearch Full time ₹ 15,00,000 - ₹ 35,00,000
Search Solutions Engineer

The primary responsibility of this role is to design, implement, and maintain advanced search solutions using OpenSearch/Elasticsearch. The ideal candidate will have extensive experience with Elasticsearch or OpenSearch in production environments, along with a deep understanding of search concepts such as analysers, tokenisers, relevance tuning, custom scoring, and query DSL.

The successful candidate will be responsible for architecting and developing search features, including custom analysers, tokenisers, and scoring algorithms. Additionally, they will create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.

This position requires expertise in Python, with experience building APIs (preferably FastAPI). The candidate should also have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot, and Windsurf.

Strong testing background, including integration, regression, and performance testing, is essential for this role. DevOps skills, including automation, CI/CD, and cloud infrastructure (AWS preferred), are also required. Excellent communication and collaboration skills are necessary to work closely with data engineers and product teams to deliver high-quality search experiences.

Key Responsibilities:
  • Design and implement advanced search solutions using OpenSearch/Elasticsearch
  • Create and maintain index templates, mappings, and lifecycle policies
  • Develop and maintain robust, scalable APIs for search using Python (FastAPI)
  • Lead efforts in integration, regression, and performance testing
  • Automate deployment and management of search infrastructure
Requirements:
  • 5+ years experience with Elasticsearch or OpenSearch in production environments
  • Experience with AI/LLM-based search experiences such as Rag, learning to rank, and query understanding
  • Expert level expertise in Python, with experience building APIs (preferably FastAPI)
  • Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL
  • Experience with index template management, lifecycle policies, and large-scale data modelling
  • Proficiency in designing and optimising search pipelines and custom query builders
  • Must have practical hands-on experience developing software using AI-assisted tools and workflows such as Cursor, Co-pilot, and Windsurf
  • Strong testing background: integration, regression, and performance testing
  • DevOps skills: automation, CI/CD, and cloud infrastructure (AWS preferred)
  • Excellent communication and collaboration skills
  • Experience with S3, AWS Lambda, and cloud-native architectures

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