Backend Engineer - Recommendation (all genders)
Core
Build and enhance high-traffic recommendation APIs and data pipelines using NodeJS, TypeScript, and BigQuery to serve personalized fashion recommendations.
Role type
Senior Backend Engineer (Recommendation Systems)
Builds
High-traffic recommendation APIs and data processing pipelines
Domain
E-commerce, Fashion, Machine Learning
Deliverable
production ML models | product features
Required skills
NodeJS, TypeScript, SQL/NoSQL databases, scalable API development, cloud ecosystem integration (AWS/GCP), data pipeline orchestration (Dagster/Airflow), distributed data processing
Preferred skills
Elasticsearch/OpenSearch, dbt, MPP data warehouses (Redshift/BigQuery), centralized logging/monitoring (Datadog), Machine Learning Models, LLM-based systems
Technologies
NodeJS, TypeScript, Google BigQuery, Elasticsearch, OpenSearch, dbt, Redshift, Datadog, AWS, GCP, Dagster, Airflow
Responsibilities
Develop next-generation recommendations utilizing NodeJS with TypeScript; Manage extensive data volumes efficiently; Build and enhance high-traffic APIs; Collaborate with data scientists and product managers to launch novel features
Seniority
Mid-level, hands-on IC