Cloud Engineer* Data & AI

What you can achieve with us

• As a Cloud Engineer, your focus is on implementing modern data and AI infrastructures, orchestrating GPU clusters, structuring data platforms, and automating pipelines for efficient model training and stable operation of inference interfaces.

• You design data platforms, from storage architecture and Lakehouse formats to the integration of orchestration and streaming components.

• You set up tools like Airflow, Spark on Kubernetes or Ray, integrate them together and ensure that data and ML workflows run reliably in production.

• Infrastructure-as-Code and GitOps are standard practice for you. When dealing with sensitive data products, you build security in from the very beginning, from network policies to data governance requirements.

• Monitoring, incident handling, and GPU capacity planning are your responsibility.

In our projects we frequently use the following technologies:

• AWS, Azure, Google Cloud, StackIT, Kubernetes

• Terraform, ArgoCD, Helm, Cilium, Kyverno

• Airflow, Spark, Kafka, Ray, Kueue

• Databricks, Snowflake, dbt, Iceberg

• S3, PostgreSQL, pgvector, MLflow, vLLM, KServe

• Prometheus, Grafana, OpenTelemetry

• Python, Go

Internally and externally, you can contribute in a variety of ways: You can change your initially chosen technological focus at any time. As an expert in the field of engineering, you also have the opportunity to support younger colleagues through mentoring.

Who would be a good fit for us

Whether you have completed a degree or vocational training in IT is irrelevant to us. What matters to us are your professional skills and your personality.

• You have solid Kubernetes experience in production environments and bring in-depth knowledge of how to use one of the major cloud providers (AWS, Azure, Google Cloud, StackIT).

• You are proficient in using Infrastructure-as-Code. When building data platforms, you understand how storage architectures are designed for different workloads.

• You have experience with workflow orchestration, streaming, GPU scheduling, model serving and Lakehouse platforms, or you are keen to learn about these areas.

• You consider network hardening and security best practices from the very beginning, not as an afterthought.

• AI tools are part of your daily work: you naturally use code assistants and AI-based automation, for example when setting up Terraform modules for data pipelines or when optimizing GPU workload configurations.

• You can also explain complex technical concepts to non-technical contacts. Excellent German skills (at least C1 level) and good English skills complete your profile.

Your benefits