DevOps Engineer
Role details
Job location
Tech stack
Requirements
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