Technical Lead

Location: Bengaluru, India

Experience: 7+ Years

About Company

This is a technology-driven B2C marketplace focused on transforming the food and grocery ecosystem in India. It connects kirana stores and other retail businesses with brands, staples producers, and FMCG distributors through an integrated platform combining e-commerce, supply chain, logistics, and fintech solutions.

About the Role

We are looking for an experienced engineering leader to own and scale the Search & Personalization vertical . The role requires deep expertise in building high-performance search systems, recommendation engines, ranking algorithms, and retrieval strategies for large-scale e-commerce platforms. The ideal candidate has built and scaled search systems end-to-end, combining lexical and semantic search, vector retrieval, ranking signals, and personalization to deliver relevant product discovery experiences.

Key Responsibilities

● Own the architecture, development, and scaling of end-to-end search and personalization systems.

● Design and optimize lexical search, semantic search, vector-based retrieval, and hybrid search strategies.

● Build and improve ranking and relevance algorithms using user behaviour, product attributes, and contextual signals.

● Develop recommendation engines and personalized product discovery experiences.

● Improve search quality through query understanding, synonym expansion, null-search handling, and relevance tuning.

● Optimize search latency, scalability, and performance across large product catalogues.

● Drive A/B testing and experimentation to improve search relevance, conversion, and user engagement.

● Collaborate with product, data science, and engineering teams to define the search and personalization roadmap.

Required Skills & Experience

● 7+ years of software engineering experience, with significant expertise in search, information retrieval, recommendations, or personalization.

● Proven experience building and scaling search systems end-to-end in B2C, e-commerce, or consumer internet companies.

● Strong understanding of lexical search, semantic search, vector search, hybrid retrieval, and retrieval strategies.

● Experience developing ranking algorithms, relevance models, and recommendation engines.

● Expertise in query understanding, null searches, synonym expansion, and search relevance optimization.

● Hands-on experience with Elasticsearch, OpenSearch, Solr, or equivalent search technologies.

● Experience working with large-scale datasets, product catalogues, and user behavioural

data.

● Strong system design, problem-solving, and technical leadership skills. Preferred Candidate Background

● Experience at established or high-growth Indian or UAE-based B2C, e-commerce, or consumer internet companies.

● Demonstrated ownership of search and personalization systems from architecture and implementation through production scaling.

● Experience improving product discovery, search conversion, click-through rates, and recommendation relevance at scale.