Sr. Infrastructure Engineer
Platform Science- Full Time
- Senior (5 to 8 years)
Candidates must have proven experience in an infrastructure backend role, ideally in a fast-paced environment. Comfort with at least one major cloud platform and its associated tooling is required, along with familiarity with containerization and orchestration technologies such as Kubernetes. A background with Infrastructure-as-Code tools like Terraform or CloudFormation is preferred, as well as hands-on experience with monitoring and observability stacks. Strong scripting and coding abilities are necessary to build and automate solutions, and effective communication and collaboration skills are essential.
The Infrastructure Engineer will scale and maintain data pipelines and compute clusters as the Data Acquisition team grows. They will build out observability tools to support developer troubleshooting and performance insights, help design on-call processes balancing developer velocity with service reliability, and collaborate with DAQ teams on deployment approaches and integrations. They will prototype and implement solutions for caching, load balancing, job scheduling, and cluster scaling, while also improving developer productivity through better tooling and automated provisioning.
Develops safe and beneficial AI technologies
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.