Senior Cloud & AI Infrastructure Engineer
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Job Description
Senior Engineer building cloud infrastructure, AI, and chatbot solutions for adconova, a German Technical FinOps and AI coaching consultancy. Advising customers, automating complex processes, and contributing to cloud governance and Kubernetes projects.
Responsibilities:
- Advise clients on using AI to increase employee and process productivity and efficiency
- Conduct AI training sessions, workshops, and one-on-one coaching
- Analyze and identify AI use cases within client environments
- Evaluate current AI technologies and platforms, assess solution concepts, and apply best practices
- Design and build AI and chatbot solutions
- Develop and implement AI-powered solutions to automate complex processes
- Work on Google Cloud Platform, AWS, Azure, Alibaba Cloud, or in hybrid environments
- Contribute to client projects in Technical FinOps, cloud governance, architecture, Kubernetes, migration strategies, and AI platforms
- Enable significant efficiency gains for clients through AI adoption
Requirements:
- Experience with public clouds (Google Cloud Platform, AWS, Alibaba Cloud, or Azure)
- Experience with modern AI technologies (GenAI, Claude, Gemini, MS Copilot, ChatGPT, OpenWebUI)
- Solid experience with data and RAG pipelines
- Experience with Kubernetes, automation, Terraform or similar tools
- Knowledge of data protection, IT security, and the AI Act is a plus
- Programming and/or scripting skills (Python, Go, etc.)
- Expertise in DevOps methodologies
- Experience developing and implementing AI- or data-driven solutions
- Fluent German and English
Benefits:
- Various offline (6–7 times per year) and online team events
- JobRad (company bike program)
- Company car option
- Corporate benefits
- Referral program
- eLearning tools for all kinds of training and development
- Individual hardware selection (laptop, smartphone, etc.) and OS choice
- Remote-first strategy (within Germany)
- Option to use the office in Weiterstadt
- Opportunity to take on and shape a wide range of technical and organizational topics
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