Chief Search Infrastructure Engineer

7 days ago

Alleppey, Kerala, India beBeeSearch Full time ₹ 18,00,000 - ₹ 24,00,000
Search Solutions Architect

Design and implement search solutions from the ground up.

Develop advanced search features using Elasticsearch/OpenSearch, including custom analysers, tokenisers, 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 optimise 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: 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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