Hybrid Cloud Engineer – Generative AI & LLM

Posted 3 weeks ago

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About the role

  • Cloud Engineer focusing on Generative AI and scalable cloud infrastructures in an innovative consulting firm. Collaborating on challenging projects and building efficient cloud-based AI solutions.

Responsibilities

  • End-to-end responsibility for developing, deploying, and operating scalable cloud architectures
  • Close collaboration with internal teams and clients to integrate generative AI models into production cloud solutions
  • Optimization of cloud resources for performance, cost-efficiency, scalability, and security
  • Analysis and sustainable remediation of complex infrastructure and performance issues
  • Design, evolution, and automation of CI/CD pipelines for cloud services and AI models
  • Technical consulting for clients and active participation in architecture decisions
  • Continuous development and refinement of best practices in Cloud Engineering and Generative AI

Requirements

  • 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
  • Proven 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 skills in 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-level proficiency in German and English
  • Willingness to travel within the DACH region

Benefits

  • Onboarding & team spirit: welcome day, “hello” drink & new-starter lunch
  • Mentoring program to support your ideal onboarding
  • Afterwork events, summer tech event & festive Christmas party
  • Joint social engagement through charity and donation campaigns
  • Development & career: individual career paths & regular feedback discussions
  • Diverse in-house training, online courses & external development opportunities
  • International collaboration with colleagues across Europe
  • Work-life balance & flexibility: remote work & workation — within the EU and beyond
  • Sabbatical options & flexible working-time models
  • Holiday calendar for Baden-Württemberg plus the public holidays of your federal state — double benefit
  • 30 days of annual leave
  • Budget for equipping your mobile workplace
  • Deutschlandticket or bike leasing — your choice
  • Optional BahnCard for additional travel flexibility
  • Support for retirement provision & wealth building
  • Various options for financial protection
  • Access to the Employee Assistance Program (EAP) — also available to family members
  • Bonuses for special commitment
  • Exclusive discounts via our corporate benefits platform
  • Our CBTW Spotify playlist to get a musical impression of the team

Job title

Cloud Engineer – Generative AI & LLM

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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