Get your hands on real AI systems that run. Start here.

 

At WAIYS, working students contribute to production-grade AI systems, real infrastructure, real deployments, real constraints.

 

You work alongside AI and DevOps engineers on containerized services, CI/CD pipelines, and cloud environments powering modern AI applications such as large-scale inference, robotics, and agentic systems.

 

If you want to understand how AI systems run in practice, this role offers that exposure.

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About WAIYS

WAIYS is a Norwegian-German tech company on a mission to simplify AI adoption in the real estate industry. We combine advanced AI software, robust infrastructure, and deep domain expertise to build modular AI SaaS for real estate investors, developers, and managers. Our solutions range from chatbots to advanced analytics to full agentic automations.

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Role Overview

As a Working Student DevOps Engineer, you work closely with our AI engineering team to build, maintain, and improve deployment pipelines for our AI systems.You gain hands-on experience with containerization, automation, cloud infrastructure, and real-time systems in a fast-moving AI environment.

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Key Responsibilities

• Support CI/CD pipelines using GitLab

• Build, test, and maintain Docker images and containerized services

• Assist in deploying microservices across cloud environments

• Maintain internal development tooling, scripts, monitoring dashboards, and environment automation

• Assist in documentation of DevOps processes, deployment guidelines, and platform maintenance

• Troubleshoot pipeline failures, container-level issues, access/token problems, and environment issues

• Design and implement automation solutions using SharePoint, Microsoft Lists, Power BI, Power Automate (Flow), and Microsoft Teams to streamline workflows, improve data visibility, and enhance operational efficiency

 

Required Skills

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or related field

• Strong understanding of Linux, shell scripting, and system administration

• Experience with Docker and container-based development

• Basic familiarity with Git, GitLab or GitHub, and CI/CD concepts

• Some experience with Python environment setup

• Interest in DevOps, MLOps, cloud automation, or AI workflows

• Ability to work with Microsoft 365 automation tools, including SharePoint, Microsoft Lists, Power BI, Power Automate, and Microsoft Teams

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Nice-to-Have Skills

• Experience with GitLab CI/CD or GitHub Actions

• Basic understanding of cloud platforms (Azure, AWS, GCP)

• Knowledge of Kubernetes or container orchestration

• Experience building internal tools or automation scripts

 

What to Expect

• ~10 hours per week, compatible with university schedules

• Hybrid work model. Remote work within Germany possible.

• Direct collaboration with experienced AI and DevOps engineers

• Real responsibility within production systems

• Semester-based role (starting March 1st), with the option to grow further

 

Who This Role Is For

• You like understanding systems end-to-end

• You learn quickly and take ownership seriously

• You value clarity, structure, and real technical responsibility

• You communicate well in German and English