DevOps Engineer

Prague or also remote (online)
Start date
ASAP (by agreement)
Type of job offer
Full-time permanent employment
Monthly salary
from 2000 €

Job description

  • Maintaining edge device infrastructure

  • Developing CI/CD workflows

  • Developing/deploying autonated tools to process custom logs

  • Setting up reporting protocols about operations of edge devices

  • Setting up robust and safe client-server communication for edge devices

  • Setting up and maintaining cloud infrastructure

  • Contributing to the cybersecurity workstream

Who are we looking for

  • Fluency in Linux and bash scripting

  • Fluency in Python

  • Experience with Git and CI/CD pipelines

  • Experience with Docker/Kubernetes

  • Experience with public cloud (AWS/GCP)

  • Practical mindset, ability to “make things work”, deliver fast plausible if imperfect solutions, agile approach

  • Problem-solving skills, reasonable understanding of simple maths and computer science (algorithms and data structures)

  • Passion for automation

A plus:

  • Experience with and passion for edge devices (Arduino/Raspberry Pi/Jetson)

  • Knowledge of data science libraries (Pandas/Sklearn/Keras)

  • Any other programming language (C++/Go/Javascript/other relevant languages)

Why should you choose us

  • Build a scalable product to disrupt manufacturing, a massive (5tn) but publicly invisible industry

  • Work on the future of Europe. Preserving/building welfare in your own country or region (if you are from CZ/SK or broadly central Europe) that is heavily dependent on manufacturing

  • Blood, sweat and tears. We physically install our products in real factories, wearing overalls, helmets and special boots and using drills

  • Become a number <10 team member of an early-stage startup

  • Stock options

Language proficiency

  • - English - C1 - advanced


  • University student
  • A recent college graduate
  • Young professional (work experience up to 3 years from college graduation)
  • Professional

About organization

We develop AI-driven digital performance management tools to increase the effectiveness of series production; we thus enable digital manufacturing transformation for companies of all sizes.