Full-Stack SWE, Data Acquisition (Foundations)
Core
Build and optimize full-stack interfaces and tools for data collection to support large-scale model training operations.
Role type
Senior Full-Stack Engineer (Data Infrastructure)
Builds
Internal tools, dashboards, and APIs for data ingestion and pipeline management.
Domain
AI Infrastructure / Data Engineering
Deliverable
production ML models
Required skills
Full-stack development, RESTful APIs, GraphQL, database design (SQL/NoSQL), cloud platforms (AWS/GCP/Azure), container orchestration (Kubernetes/Docker), web crawling, large-scale data processing
Preferred skills
Prior experience with web crawling and large-scale data processing
Technologies
React, Vue, Python, Node.js, Go, Kubernetes, Docker, AWS, GCP, Azure
Responsibilities
Develop and maintain full-stack applications for data acquisition; Design and implement APIs for data interactions; Optimize backend services for performance and scalability; Deploy and maintain infrastructure using Kubernetes and IaC; Analyze system performance and improve data workflows
Seniority
Senior, hands-on IC