Keenious | DevOps Engineer - Full Stack Engineer - Institutional Sales &amp; Relationship Manager | Full Time - REMOTE | Europe | <a href="
At Keenious we are helping students and researchers around the world with their important work by finding relevant research to what they are working on. We do this by analyzing the users' document with self-developed advanced machine learning algorithms and then display a list of highly relevant research articles right next to their document.
We are launching Keenious commercially in the next few months, and we're selling to large university institutions. Therefore we are now expanding our fully remote team from 6 to 9 and are actively recruiting and hiring for three key remote positions in Europe:
- DevOps Engineer - Platform Architect: You will be working on architecting, managing, and making sure our Kubernetes run distributed system can scale to potentially millions of users. You will be the person that manages and connects up all the different parts, from our front-end to our machine learning model services, effectively, securely, and with high scaleability. <a href="
- Full Stack Engineer - Front-end &amp; UX Passionate: You will be working directly on the application itself, both on the front-end and the back-end. We are specifically looking for someone that has a passion for a good UX design, and that likes developing intuitive and clean interfaces, but also someone that can get their hands dirty on our NodeJS back-end when needed. <a href="
- Institutional Sales &amp; Relationship Manager - High-Value University Sales: You will be working on making sure that we get our product in the hands of students and researchers all over the world. We're looking for someone that has experience in sales but wants to work on selling an innovative product to large businesses ($100K+ deals). <a href="
Our stack: TypeScript, React, Redux, NodeJS, CircleCI, Azure, Python, Docker, Kubernetes, ElasticSearch, Apache Airflow
At Keenious we are at the starting point of building our team and we believe gender diversity and inclusion are really important in creating a strong team built for the future. Because of that we heavily encourage female applicants!
Go to <a href=" for more information. This is a great opportunity if you want to have an impact on an AI product that is helping with education and research.