Cloud Engineer focusing on generative AI solutions at CBTW, developing scalable cloud infrastructures and automated CI/CD pipelines in hybrid work environment.
Responsibilities
Independently develop, deploy and operate scalable cloud architectures
Work closely with internal teams and clients to integrate generative AI models into production cloud solutions
Optimize cloud resources for performance, cost, scalability and security
Analyze and sustainably resolve complex infrastructure and performance issues
Build, enhance and automate CI/CD pipelines for cloud services and AI models
Provide technical consulting to clients and actively contribute to architecture decisions
Continuously improve best practices in cloud engineering and generative AI
Requirements
Degree in Computer Science, Business Informatics, Engineering or an equivalent qualification
Several years of hands-on experience as a Cloud Engineer, ideally focused on Generative AI or data-driven platforms
Solid experience with at least one major cloud provider (AWS, Azure or Google Cloud) in production environments
Strong knowledge of containerization and orchestration (Docker, Kubernetes)
Practical experience building and operating MLOps pipelines and managing the full AI model lifecycle
Solid knowledge of data engineering, data pipelines and ETL processes
Experience with modern AI frameworks and tools such as Hugging Face, LangChain or comparable technologies
Ability to analyze complex technical challenges in a structured way and implement sustainable solutions
Strong communication skills — including coordination with clients and stakeholders
Team-player mindset and experience in interdisciplinary project teams
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