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Internship Software Engineer

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Hybrid

Internship Software Engineer

Nokia

Internship Software Engineer

Skills

DockerPythonMachine LearningAILinuxKubernetes

9 days ago

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Important information


Contract type:

Temporary

Location:

Slovakia

Work mode:

Hybrid

Published on:

13 October 2026

What they need


Position: Software Development Intern - Network Infrastructure & IP Networks
Location: Bratislava, Slovakia (Hybrid)
Type: Part-time internship
Start date: Flexible
This internship is best suited for students in the final year of a Bachelor’s degree or those pursuing a Master’s degree in Computer Science, Software Engineering, Informatics, or a related technical field.

What You Will Learn

  • How software is developed in a large-scale, international engineering organization.
  • How AI-assisted software development workflows are applied in practice.
  • How to use modern AI coding assistants and developer productivity tools effectively.
  • Agile development methods and DevOps practices.
  • How AI technologies are transforming software engineering, testing, and network operations.
  • How carrier-grade and enterprise networking solutions are built and maintained.

What You Will Be Doing

  • Design and develop software components for network infrastructure solutions.

  • Contribute to cloud-native applications, automation tools, and management platforms.

  • Participate in feature development, testing, debugging, and performance optimization.

  • Collaborate with experienced engineers in an agile development environment.

  • Work with modern development tools, continuous integration and delivery pipelines, and automated testing frameworks.

  • Use modern engineering practices and AI-assisted tools for coding, testing, debugging, documentation, and code reviews.

  • Experiment with the latest AI-powered technologies to improve developer productivity and software quality.

  • Contribute to automation initiatives that use machine learning and generative AI where appropriate.

  • Explore technologies used in IP networking, network automation, observability, and distributed systems.

  • Learn how software supports the operation of large-scale communication and data networks.

    Why Join Us?

  • Receive mentorship from experienced software architects and engineers.

  • Gain practical experience with modern software engineering technologies.

  • Work on real products used by customers around the world.

  • Access state-of-the-art AI-powered development tools that support coding, testing, troubleshooting, and learning.

  • Learn how AI is being adopted in professional software engineering environments to improve developer productivity and product quality.

  • Benefit from flexible working arrangements that are compatible with your studies.

  • Join a friendly and collaborative team environment.

  • Explore opportunities to continue your career with us in a graduate or full-time position after completing your studies.

    Preferred Candidate Profile

  • We are looking for students who enjoy solving complex technical problems, are eager to learn, and want to understand how software powers modern network infrastructure.

  • Whether your interests include backend development, cloud technologies, automation, networking, or distributed systems, you will find opportunities to grow, contribute, and make an impact.

What We Are Looking For

  • A student pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Informatics, or a related technical field.
  • Knowledge of software development fundamentals and object-oriented design principles.
  • Experience with at least one programming language, such as Python, C, or C++.
  • Familiarity with Linux environments.
  • Familiarity with Git and collaborative software development practices.
  • Strong analytical and problem-solving mindset.
  • Good written and spoken English.
  • Curiosity, initiative, and a willingness to learn.

Nice to Have

  • Understanding of computer networking concepts, such as TCP/IP, routing, and switching.
  • Experience with containers and cloud technologies, such as Docker or Kubernetes.
  • Personal projects, open-source contributions, or participation in coding competitions.

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