📍 Prague I Brno (flexible, hybrid)
🕰️ part-time (from 30 h/week) I full time (ideal for completing your master’s or studies!)
About the job
Are you finishing up your Computer Science degree (or recently graduated) and wondering how to bridge the gap between academic theory and world-class cloud engineering? Do you know your way around a terminal, understand the basics of containerization, and possess an insatiable curiosity for how massive infrastructure scales?
At DataSentics, we don't expect you to be an AWS or Databricks wizard on day one. We will teach you the cloud specifics. What we do need is your solid foundation in CS basics, a firm grasp of Docker, and a driving eagerness to learn engineering right. You will work alongside senior architects, automating everything through code and building the infrastructure that powers the next generation of data and AI applications.
What You’ll Do (And Learn)
As a Junior Cloud Platform Engineer, you will be embedded into an agile team (2–5 people) where mentorship is a priority. You will gradually take ownership of:
- Infrastructure as Code: Learn how to design and spin up entire cloud environments (primarily AWS/Azure) using Terraform.
- Modern Containerization: Move beyond local containers. You’ll use your basic Docker knowledge to help manage and orchestrate services using Kubernetes.
- Automating Delivery: Build, break, and fix CI/CD pipelines (GitHub/GitLab) to automate software deployments.
- DataOps & AI Infrastructure: Get hands-on exposure to advanced data platforms like Databricks, learning how to secure, monitor, and scale them.
What We’re Looking For
The Must-Haves:
- CS Background: You are currently studying or have recently graduated with a degree in Computer Science, Informatics, or a closely related technical field.
- Docker Basics: You understand containerization concepts and know how to write a basic Dockerfile.
- Eager to Learn: You have a high curiosity velocity. When something breaks, you want to dig into the "why" and Basic Scripting: You know the fundamentals of Python or Bash for basic automation tasks.
Nice-to-Haves (Great if you have them, we’ll teach you if you don't):
- Any school projects or hobby repositories showcasing git workflows (GitHub/GitLab).
- Theoretical knowledge or minor hands-on experience with any public cloud platform (AWS, Azure, GCP).
Why Join us
- Real Mentorship: We combine deep technical expertise with a practical, product-driven approach. You won't just be doing busywork; you'll build production-grade platforms.
- Extreme Flexibility: We know school comes first. We offer flexible arrangements starting at 30 hours/week with remote-first options, though you can always hang out with us at
our offices in Brno or Prague.
- The Stack You'll Master: AWS, Azure, Terraform, Docker, Kubernetes, Databricks, and Python.
