Full-Stack SWE, Data Acquisition (Foundations)
ExternalFull-timeOn-site16mo ago
AWSAzureComplianceDockerGCPGraphQL
Prepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
About the role
The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure.
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.
Requirements
- 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.
- About OpenAI
- We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
- For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement .
- To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance.
- We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link .
- OpenAI Global Applicant Privacy Policy
- At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at openai? Share your experience