Senior Search Infrastructure Specialist

3 days ago

India beBeeSearch Full time
Job Description

As a Senior Search Engineer, you will be responsible for architecting and developing advanced search features using OpenSearch/Elasticsearch. You will design and implement custom analysers, tokenisers, and scoring algorithms to improve the relevance of search results.

Key Responsibilities:

  • Design & implement search solutions: Architect and develop advanced search features using OpenSearch/Elasticsearch.
  • Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
  • Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements.
  • Ai/ml/llm powered search: Leveraging LLMs and AI for data enrichment and improved search relevance.
  • Api development: Develop and maintain robust, scalable APIs for search using Python (FastAPI).
  • Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
  • DevOps & 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

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.
Why You'll Love It

Why You'll Love It:

  • Green-field impact—architect the backbone of our data engine from the ground up.
  • Remote-first flexibility—work anywhere in India and set core hours that suit your life.
  • Small senior team—less bureaucracy, quicker decisions, visible results.
  • A collaborative, innovative, and supportive team culture.

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