DevOps Engineer (m/f/d)

WAIYS GmbH; Germany (OH); On-site; USD 57,783 - 80,896; Full time

Job summary

WAIYS GmbH is seeking a passionate DevOps Engineer to join their hybrid remote team. You will build and maintain deployment pipelines for AI applications, handling tasks from containerization to cloud infrastructure and automation.

Ideal candidates are proactive tech enthusiasts with a degree in Computer Science or related fields and have industry experience in DevOps. A strong command of Linux and Docker, along with familiarity with Microsoft 365 tools, is essential for success in this role.

Qualifications

• 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.

Responsibilities

• Create and maintain CI/CD pipelines using GitLab.
• Build, test, and maintain Docker images and containerized services.
• Deploy microservices across cloud environments.

Skills

Linux

Docker

Git

CI/CD concepts

Python

Azure cloud infrastructure

Microsoft 365 automation tools

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, IT, or related field

Tools

GitLab

Power BI

Microsoft Teams

Job description

Full-time | Starting immediately | Hybrid/Remote | Germany

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 environ
• 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
• 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