Cloud Engineer – Generative AI, LLM

CBTW

Cloud Engineer responsible for developing scalable cloud architectures and integrating generative AI models with clients. Collaborating closely with teams to optimize performance and security in cloud services.

Posted 5/11/2026full-timeBerlin • 🇩🇪 GermanyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerETLKubernetes

About the role

Key responsibilities & impact

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 consultancy to clients and actively contribute to architectural decisions
Continuously refine and advance best practices in cloud engineering and generative AI

Requirements

What you’ll need

Degree in Computer Science, Business Informatics, Engineering, or a comparable qualification
Several years of practical 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)
Hands-on 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 working in interdisciplinary project teams
Business-fluent German and English
Willingness to travel within the DACH region

Benefits

Comp & perks

Onboarding & team spirit: Welcome Day, a 'Hello' drink, and Newbie Lunch
Mentoring program for an optimal onboarding
After-work events, Summer Tech Event & festive Christmas party
Joint social engagement through fundraising campaigns
Individual career paths & regular feedback discussions
Diverse in-house training, online courses & external development opportunities
International collaboration with colleagues across Europe
Remote work & workation — within the EU and beyond
Sabbatical options & flexible working time models
Regional public holiday calendar (Baden-Württemberg) plus the holidays of your federal state — double benefit
30 vacation days per year
Allowance for equipping your mobile workspace
Deutschlandticket (public transport pass) or bike leasing — your choice
Optional: BahnCard for even more travel flexibility
Support for retirement provision & wealth accumulation
Various options for financial protection
Access to the Employee Assistance Program (EAP) — also available to family members
Bonuses for exceptional commitment
Exclusive perks via our corporate benefits platform
Our CBTW Spotify playlist to get a musical impression of the team

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud architecturegenerative AICI/CD pipelinesMLOpsdata engineeringdata pipelinesETL processescontainerizationorchestrationAI model lifecycle

Soft Skills

technical consultancyproblem analysissustainable solutionscommunicationteam collaborationinterdisciplinary teamworkcoordinationclient engagementstructured thinkingadaptability

Certifications

degree in Computer Sciencedegree in Business Informaticsdegree in Engineering