As a Cloud Infrastructure Engineer, you will be responsible for working with infrastructure deployed on AWS, GCP, Digital O...">
Cloud Infrastructure Engineer / Site Reliability Engineer
Remote / Full Time
As a Cloud Infrastructure Engineer, you will be responsible for working with infrastructure deployed on AWS, GCP, Digital Ocean, Azure and in some cases on-premises. These deployments will range from cloud kubernetes deployments of JupyterHub and Dask gateway to on-premises hpc clusters. At Quansight we strive to make these deployments reproducible and testable thus we use common infrastructure as code tooling like terraform, vagrant, helm, and ansible. All of our deployments revolve around data science workflows which use conda environments, JupyterHub, JupyterLab, and Dask Your work will enable teams to do computations on large datasets. Working as a cloud infrastructure engineer will regularly use unix skills such as file permissions, managing file systems, networking, and user management.
Additionally one or more of the following skills will help you stand out
Quansight has its roots in the Python data science community. Our mission is to connect companies to open-source communities to create sustainable data-driven solutions that benefit the whole ecosystem. We accomplish this mission by providing a variety of services ranging from open-source software development to training and consulting. We believe in a culture of do-ers, learners, and collaborators. We are looking for people who are motivated, humble, curious, and respectful of others.