Orchest

Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and complexity. We make the data platform team obsolete by automating the plumbing and making it easy to work in a cloud native way as a data scientist. Today, we’re focused on drastically simplifying how batch data pipelines are built by focusing on intuitive abstractions, seamless integration of the canonical open source data science stack (e.g. Jupyter notebook support), and single-click productionization. To that end we’re looking for a Python/k8s Engineer that will help us develop the backend. We raised ($4M+) from top investors like Gradient Ventures (Google) and Basis Set Ventures (SF-based AI & ML fund). In addition, we’re a fully remote company (team of 10, ex-NUMFocus, ex-Klarna, ex-GitLab) with async communication to allow everyone to get into flow state and do their best work. More details about our open source project can be found here: https://github.com/orchest/orchest (3K+ Stars and counting) or check out our AngelList listing https://angel.co/company/orchest/jobs Interested? Reach out to me at rick@orchest.io.