Build the infrastructure behind real AI systems that run.*
At WAIYS, you work closely with our AI engineering team to build, maintain, and improve deployment pipelines, cloud infrastructure, automation, and internal tooling for live AI-driven products.
You’ll work with containerization, CI/CD, cloud infrastructure, and real-time systems powering AI applications such as robotics, agentic AI, and large-scale inference.
## 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.
## Role Overview
As a DevOps Engineer at WAIYS, you will build, maintain, and improve deployment pipelines for our AI systems.
You will work hands-on with containerization, automation, cloud infrastructure, and real-time systems powering AI applications such as robotics, agentic AI, and large-scale inference.
## What you’ll work on:
Create and maintain CI/CD pipelines using GitLab
Build, test, and maintain Docker images and containerized services.
Deploying of microservices across cloud environments.
Maintain internal development tooling, scripts, monitoring dashboards, and environment automation.
Documentation of DevOps processes, deployment guidelines, and platform maintenance.
Troubleshoot pipeline failures, container-level issues, access/token problems, and environment
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.
Implementation of security feature to cloud infrastructure
Contribute to backup and recovery strategy
## What you bring:
A Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or a related field
1–2 years of industry experience in DevOps or IT infrastructure
Strong knowledge of Linux, shell scripting, and system administration
Hands-on experience with Docker, Git, GitLab or GitHub, and CI/CD concepts
Familiarity with Python environment setup
Practical experience with Azure cloud infrastructure
Knowledge of cloud application security
Exposure to DevOps, MLOps, cloud automation, or AI workflows
Ability to work with Microsoft 365 automation tools such as SharePoint, Microsoft Lists, Power BI, Power Automate, and Microsoft Teams
Strong English communication; German skills are helpful for local collaboration
## Nice to have:
Understanding of AWS or GCP
Knowledge of Kubernetes and container orchestration
Familiarity with inference runtimes
Experience building internal developer tools or automation scripts
## How you work
You are proactive, self-driven, and excited to learn fast
You work independently and collaborate well with technical teams
You feel comfortable in a dynamic, fast-paced startup environment
## Why join WAIYS:
Work on live AI-driven systems
Build infrastructure for real-world AI applications
Collaborate closely with AI engineers and technical teams
Gain hands-on experience with modern DevOps stacks
Contribute to AI adoption in a fast-moving international company
## We offer:
Hybrid-remote work model (within Norway or Germany)
30 vacation days
Flexible working hours
Company pension scheme
Employee benefits and perks
A highly innovative field of activity
An open company culture that values ideas over titles
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