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Senior Cloud & AI Infrastructure Engineer
adconova GmbH. Advise customers on using AI to increase employee and process productivity and efficiency .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing AI-powered solutions, leveraging public cloud platforms such as Google Cloud Platform, AWS, and Azure. Proficient in conducting training sessions and workshops while analyzing AI use cases to enhance customer productivity and efficiency.
Highest-signal resume keywords
AI Solution DevelopmentPublic Cloud PlatformsKubernetes ExperienceProgramming Skills (Python, Go)Fluent in German and English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI TechnologiesData PipelinesAutomationTerraformDevOps Methodologies
Soft Skills
Customer AdvisingTraining Facilitation
Tools & Technologies
Google Cloud PlatformAWSAzureAlibaba CloudChatGPT
Industry Keywords
AI Use CasesCloud GovernanceTechnical FinOpsData ProtectionEU AI Act
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKubernetesPythonTerraformTypeScriptGo
About the role
Key responsibilities & impact- Advise customers on using AI to increase employee and process productivity and efficiency
- Conduct AI training sessions, workshops, and one-on-one sessions for customers
- Analyze and identify AI use cases in customer environments
- Evaluate current AI technologies and platforms, review solution concepts, and apply best practices
- Enable significant efficiency gains for customers through the use of AI
- Design and build AI and chatbot solutions
- Develop and implement AI-powered solutions to automate complex processes
- Work with Google Cloud Platform, AWS, Azure, Alibaba Cloud, or hybrid environments
- Contribute to customer projects involving Technical FinOps, cloud governance, architecture, Kubernetes, migration strategies, and AI platforms
Requirements
What you’ll need- Experience with public cloud platforms (Google Cloud Platform, AWS, Alibaba Cloud, or Azure)
- Experience with modern AI technologies (including GenAI, Claude, Gemini, Microsoft Copilot, ChatGPT, and OpenWebUI)
- Strong experience with data and RAG pipelines
- Experience with Kubernetes, automation, Terraform, or similar technologies
- Knowledge of data protection, IT security, and the EU 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 in German and English
Benefits
Comp & perks- A variety of in-person team events (6–7 times per year) and online team events
- JobRad bicycle leasing program
- Company car option
- Corporate benefits
- Employee referral program
- e-learning tools for all types of professional development
- Choice of hardware (laptop, smartphone, etc.) and operating system
- Remote-first strategy (within Germany)
- Option to work from the office in Weiterstadt
- Permanent employment contract