Senior Cloud & AI Platform Engineer

Quick Facts

Senior Cloud & AI Platform Engineer role focused on hands-on cloud and AI platform delivery in Microsoft Azure, including secure landing zones, automation (IaC), and CI/CD.

Description

You will design and build a cloud environment for AI solutions and modern applications, primarily on Microsoft Azure. You will develop, integrate, and operate AI solutions, including practical implementation such as integrating language models, RAG, and deploying model services. The position bridges cloud architecture with technical realization and offers a path to gradually lead the cloud team.

Responsibilities

• Design, build, and develop the cloud environment for AI solution development and operations, plus modern applications
• Practically develop and integrate cloud services, APIs, and AI solution components
• Design and implement a cloud landing zone including identity, networks, security, monitoring, and governance
• Automate infrastructure and application deployments using Infrastructure as Code and CI/CD
• Define technical standards and procedures for secure, reliable, and cost-effective cloud operations
• Collaborate with AI, development, operations, and security teams when designing and rolling out solutions
• Provide technical coordination for cloud activities, knowledge transfer, and mentoring

Benefits

• Cafeteria benefits
• 5 weeks of vacation, sick days, meal vouchers
• Enhanced preventive healthcare program
• Employer contribution to pension and/or life insurance and/or DIP
• Professional growth and development
• Occasional work from home
• Start date possible by agreement

Requirements

• At least 5 years of relevant experience in cloud or software engineering, including application development and deployment
• Advanced practical knowledge of Microsoft Azure; experience designing and implementing cloud solutions
• Proven developer experience creating APIs, backend services, or integration components (ideally in Python)
• Practical experience implementing AI solutions (e.g., LLM integrations in applications, RAG, deploying model services)
• Experience with Infrastructure as Code (Terraform or Bicep), CI/CD, and containerization
• Knowledge of DevOps/DevSecOps principles and CI/CD
• Knowledge of cloud identity, networking, security, monitoring, and cost governance