Cloud & AI Infrastructure Engineer

adconova GmbH

Cloud & AI Infrastructure Engineer für adconova, einen deutschen Technical-FinOps- und AI-Coaching-Berater. Entwickeln skalierbare Cloud-, KI- und Automatisierungslösungen für Kundenprojekte.

Posted 8/4/2026full-timeWeiterstadt • 🇩🇪 GermanyMid-LevelSenior💰 €50,000 - €100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI-driven solutions, leveraging public cloud platforms such as Google Cloud Platform, AWS, and Azure. Proficient in modern AI technologies and practices, with strong capabilities in data management, automation, and Kubernetes.

Highest-signal resume keywords

AI-Driven Solutions DevelopmentPublic Cloud ExperienceKubernetes ExpertiseProgramming Skills (Python, Go)Fluency in German and English

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Technologies (GenAI, Claude, Gemini, MS Copilot, ChatGPT, OpenWebUI)Data and RAG PipelinesTerraformDevOps PracticesAutomation

Soft Skills

Client AdvisingTraining and Workshop Facilitation

Tools & Technologies

Google Cloud PlatformAWSAzureAlibaba CloudKubernetes

Industry Keywords

Cloud GovernanceTechnical FinOpsData ProtectionIT SecurityAI Act

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformKubernetesPythonTerraformTypeScript

About the role

Key responsibilities & impact

Advising our clients on the use of AI to increase employee and process productivity and efficiency
Conducting trainings, workshops and one-on-one AI sessions
Analyzing and identifying AI use cases in client environments
Evaluating current AI technologies and platforms, reviewing solution concepts and applying best practices
Designing and building AI and chatbot solutions
Developing and implementing AI-driven solutions to automate complex processes
Working on platforms such as Google Cloud Platform, AWS, Azure, Alibaba Cloud or in hybrid environments
Contributing to client projects in Technical FinOps, Cloud Governance, architecture, Kubernetes, migration strategies and AI platforms
Translating requirements into scalable architectures and resilient systems

Requirements

What you’ll need

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 and 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 practices
Experience developing and implementing AI- or data-driven solutions
Fluent in German and English

Benefits

Comp & perks

Variety of offline (6–7 times per year) and online team events
JobRad (company bike leasing)
Company car option
Corporate benefits
Referral programme
eLearning tools for all kinds of professional development
Individual hardware selection (laptop, smartphone, etc.) and OS
Remote-first policy (within Germany)
Option to use our office in Weiterstadt
Opportunity to take ownership of technical and organizational topics and help shape them