THE ROLE
Join our IT Operations team and collaborate closely with Engineering, Cybersecurity, and Data Science to create a scalable, resilient, and AI-ready cloud environment. Your mission: ensure our systems not only run efficiently today, but are prepared to meet the complex demands of tomorrow’s AI applications.
If you're passionate about cloud engineering, automation, and emerging AI platforms – and want to thrive in a fast-paced, collaborative setting – this is your opportunity to make a lasting impact on the cycling industry.
YOUR JOB AS PART OF THE CANYON CREW
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Design and operate AI-ready infrastructure: Build and maintain scalable, secure cloud environments for internal and external AI agents (e.g., Azure AI, OpenAI).
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Manage hybrid IT landscapes: Ensure smooth operation of hybrid systems on Azure or GCP, including SaaS, PaaS, and IaaS components.
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Automate with Infrastructure as Code: Use Terraform and PowerShell to automate, enhance, and document our cloud infrastructure.
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Integrate security standards: Embed relevant security requirements into all AI-related cloud services.
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Monitor and troubleshoot: Leverage observability tools (e.g., Log Analytics, Azure Monitor) to proactively optimize system performance.
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Support MLOps and deployments: Contribute to operational management of LLMs, including CI/CD, monitoring, logging, and versioning.
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Innovate and collaborate: Participate in interdisciplinary IT projects, explore emerging technologies, and support proofs-of-concept.
HOW YOU BECOME PART OF THE RACE
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A degree in (business) informatics or a comparable qualification.
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Several years of experience operating cloud infrastructures (Azure or GCP).
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Hands-on knowledge of automation and integration tools (Terraform, PowerShell).
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Experience or strong interest in AI services, LLMs, and AI infrastructure.
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Proficient in both German and English.
Nice to have:
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Experience with Azure AI, Azure OpenAI, or comparable LLM platforms.
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Familiarity with CI/CD pipelines and MLOps practices.
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Certifications in Azure or GCP.
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Basic understanding of AI security, prompt engineering, or vector-based cloud architectures.