Senior Search Solutions Architect

2 days ago

Ellore, Andhra Pradesh, India beBeeSearch Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking an experienced Search Solutions Architect to design and implement cutting-edge search features using OpenSearch/Elasticsearch.

Responsibilities:
  • Architect and develop advanced search solutions, leveraging custom analysers, tokenisers, and scoring algorithms.
  • Create and maintain index templates, mappings, and lifecycle policies for optimal data integrity, performance, and scalability.
  • Build and optimise custom query builders and search pipelines tailored to complex business requirements.
  • Leverage AI/ML/LLM powered search to enhance data enrichment and search relevance.
  • Develop and maintain robust APIs for search using Python (FastAPI).
  • Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
  • Automate deployment and management of search infrastructure, including index templates and search pipelines.

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.
  • Practical hands-on experience developing software using AI-assisted tools and workflows.
  • 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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