Lead Backend Engineer (all genders)
Core
Design and implementation of search algorithms, recommendation systems, and ranking systems to create a personalized shopping experience.
Role type
Lead Backend Engineer (Search & Recommendation Systems)
Builds
High-precision search engines, recommendation/ranking systems, and intelligent BI solutions.
Domain
E-commerce, Search, Recommendation Systems, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Scalable API development, TypeScript, SQL/NoSQL databases, System architecture, Code quality, Analytical problem solving
Preferred skills
MPP Data Warehouses (BigQuery), Cloud ecosystems (AWS/GCP), Orchestration tools (Dagster/Airflow), Elasticsearch/OpenSearch, dbt, Data pipelines, Machine Learning/LLMs
Technologies
NodeJS, TypeScript, Google BigQuery, NodeJS, Elasticsearch, OpenSearch, dbt, AWS, GCP, Dagster, Airflow
Responsibilities
Design and implement search algorithms using NLP techniques; Work on recommendation and ranking system algorithms; Develop intelligent BI solutions; Manage large datasets; Build and maintain high-frequency APIs with minimal latency; Collaborate with Data Scientists and Product Managers.
Seniority
Lead, hands-on IC with mentorship
