Cloud Engineer focusing on developing scalable cloud architectures and integrating generative AI at CBTW. Join a team transforming data-driven solutions in a collaborative 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, evolve and automate CI/CD pipelines for cloud services and AI models
Provide technical consulting to clients and actively contribute to architecture decisions
Continuously develop best practices in Cloud Engineering and Generative AI
Requirements
Degree in Computer Science, Business Informatics, Engineering or a comparable qualification
Several years of hands-on experience as a Cloud Engineer, ideally with a focus on Generative AI or data-driven platforms
Solid experience with at least one major cloud platform (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 understanding 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 deliver sustainable solutions
Strong communication skills, including coordination with customers and stakeholders
Team-player mindset and experience in interdisciplinary project teams
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