Data Engine Architect

2 weeks ago


Gandhinagar, Gujarat, India beBeeSearch Full time ₹ 16,96,171 - ₹ 25,11,710

As a search infrastructure architect, you will design and implement cutting-edge search solutions for our B2B sales intelligence platform.

Key Responsibilities:
  • Search Solution Design:
    • Develop advanced search features using OpenSearch/Elasticsearch, including custom analyzers, tokenizers, and scoring algorithms.
  • Index and Template Management:
    • Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
  • Query Pipeline Development:
    • Build and optimize custom query builders and search pipelines tailored to complex business requirements.
  • AI/ML/LLM Powered Search:
    • Leverage LLMs and AI for data enrichment and improved search relevance.
  • API Development:
    • Develop and maintain robust, scalable APIs for search using Python (FastAPI).
  • Testing and Quality Assurance:
    • Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
  • DevOps and Automation:
    • Automate deployment and management of search infrastructure, including index templates and search pipelines.
  • Collaboration:
    • Work closely with data engineers and product teams to deliver high-quality search experiences.

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: analyzers, tokenizers, relevance tuning, custom scoring, and query DSL.
  • Experience with index template management, lifecycle policies, and large-scale data modeling.
  • Proficiency in designing and optimizing 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.

This is an exciting opportunity to work on a green-field project, architecting the backbone of our data engine from scratch. You will enjoy remote-first flexibility, working anywhere in India with core hours that suit your life. Our team is small and senior, with less bureaucracy, quicker decisions, and visible results. We are a collaborative, innovative, and supportive team culture. Ready to build pipelines that power the world's smartest B2B sales intelligence platform? Let's discuss further.


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