Cloud Engineer* Data & AI

Job summary

As a Cloud Engineer, focus on implementing modern Data and AI infrastructures, orchestrating GPU clusters, structuring data platforms, and automating pipelines for efficient model training and stable inference operations.

Qualifications

• Solid Kubernetes experience in production
• Deep knowledge of major cloud providers
• Proficient in Infrastructure-as-Code
• Experience with workflow orchestration, streaming, GPU scheduling, model serving, and lakehouse platforms
• Incorporate network hardening and security best practices from the start
• Familiar with AI tools in daily work
• Ability to convey complex technical concepts to non-technical stakeholders
• Fluent in German (min. C1) and good English skills

Responsibilities

• Implement modern Data and AI infrastructures
• Orchestrate GPU clusters
• Structure data platforms
• Automate pipelines for efficient model training
• Automate stable operation of inference interfaces
• Design data platforms
• Deploy tools like Airflow, Spark on Kubernetes, or Ray
• Monitor, handle incidents, and plan GPU capacity

Skills

Relocation