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Paid Internship
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46201Open Positions

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Full-Stack Developer Intern for Infrastructure

AUMOVIO
Found 2 months ago
Location
Budapest, Hungary
Time
Part-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • Flask
  • FastAPI
  • React
  • Kubernetes
  • Helm
  • GitHub Actions
  • Flux
  • PostgreSQL
  • Go programming language
  • Docker
  • Linux
  • machine learning

Soft Skills

  • collaborative
  • open-minded
  • enjoys working in a team
  • curious
  • Learns quickly
  • manage tasks independently

Job Description

As part of our team, you will contribute to the development of both frontend and backend components that power our platform. You will work closely with experienced engineers and gain hands‑on experience across our entire technology stack.

Requirements

  • Has been enrolled in a Hungarian university (BSc or MSc) in a technical field such as Computer Science, Electronics, or Electrical Engineering for at least 6 months
  • Has at least B2-level proficiency in English
  • Is collaborative, open-minded, and enjoys working in a team
  • Is curious about cutting-edge technologies and industry best practices
  • Learns quickly and can manage tasks independently

Related Field

  • Software Engineering

Related Subfield

  • Full-Stack Engineering

Languages

  • English

Nice to Haves

  • Strong knowledge of Python and experience with core frameworks such as Flask, FastAPI, or frontend frameworks like React
  • Understanding of software architecture principles and industry best practices for modern software development
  • Familiarity with CI/CD concepts and commonly used tooling in automated software delivery
  • Experience working with relational databases (e.g., PostgreSQL) for backend data persistence
  • Basic familiarity with the Go programming language
  • Knowledge of fundamental cybersecurity concepts and secure‑by‑design practices
  • Understanding of authentication and authorization mechanisms
  • Experience with virtualization and containerization technologies (e.g., Docker)
  • Comfortable working in Linux-based environments
  • Basic understanding of the machine learning development lifecycle, including data preparation and model training
▶Apply Now

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