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← All postings · December 2020 thread

Keenious

DevOps Engineer - Front-end Developer

CompanyKeenious
Websitekeenious.com
Roles
  • DevOps Engineer - Front-end Developer
  • DevOps Engineer
  • Front-end Developer
Typefull-time
Role taxonomyFrontendInfrastructure / SRE / DevOps
SpecialtiesFrontend, DevOps
LocationEurope · Remote (EU)
Salary
Apply viaApplication linkhttps://keenious.talentlyft.com/o/jSz
Hiring notes
TechTypeScriptReactPythonKubernetesDockerAzureML/AI
Parsed locationsEurope
RegionsEU
Posted byopdahl
PostedDec 1, 2020
SourceView on Hacker News ↗

Original posting

Keenious | DevOps Engineer - Front-end Developer | Full Time - REMOTE | Europe | https://keenious.com 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: You will be working on our Kubernetes run distributed system. You will be the person that works with the team to connect up all the different parts, from our front-end to our machine learning model services, effectively, securely, and with high scaleability. https://keenious.talentlyft.com/o/jSz - Front-end Developer: 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. https://keenious.talentlyft.com/o/jSx Our stack: TypeScript, React, Redux, NodeJS, CircleCI, Azure, Python, Docker, Kubernetes, ElasticSearch, Apache Airflow