Full-Stack SWE, Data Acquisition (Foundations)
Build and optimize full-stack applications, tools, and dashboards for data acquisition infrastructure supporting AI model training. Requires 4+ years full-stack experience with React/Vue, Python/Go/Node.js, APIs, databases, Kubernetes, and cloud platforms.
About the job
Responsibilities
- Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards.
- Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management.
- Design and implement APIs to facilitate data interactions between internal services and external data sources.
- Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines.
- Optimize backend services for performance, scalability, and security in a distributed computing environment.
- Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices.
- Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies.
- Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency.
Qualifications
- BS/MS/PhD in Computer Science or a related field.
- 4+ years of industry experience in full-stack development.
- Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go.
- Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL).
- Experience building data-intensive applications that handle large-scale datasets.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Prior experience with web crawling and large-scale data processing is a plus.
- Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment.
- Excellent communication and collaboration skills.
Skills
React, Vue, Python, Node.js, Go, REST APIs, GraphQL, SQL, NoSQL, Kubernetes, Docker, AWS, GCP, Azure
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