Senior Data Solutions Architect

2 days ago

Jamnagar, Gujarat, India beBeeSearch Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Search Engineering Expert

We are seeking an experienced Search Engineer to join our team and help us build the backbone of our data engine from the ground up.

The ideal candidate will have a strong background in search concepts, including analysers, tokenisers, relevance tuning, custom scoring, and query DSL.

They will also have experience with index template management, lifecycle policies, and large-scale data modelling.

Additionally, the candidate should be proficient in designing and optimising search pipelines and custom query builders.

Experience with AI-assisted tools and workflows such as Cursor, Co-pilot, and Windsurf is also required.

The successful candidate will work closely with data engineers and product teams to deliver high-quality search experiences.

Key Responsibilities
  • Design and implement search solutions using OpenSearch/Elasticsearch.
  • Index and template management: Create and maintain index templates, mappings, and lifecycle policies.
  • Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements.
  • AII/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 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.
Requirements
  • 5+ years experience with Elasticsearch or OpenSearch in production environments.
  • 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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