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About the Role
As a Platform Engineer with a focus on Sovereign AI, you will develop, implement, and operate a secure and high-performance AI toolchain for use in isolated or particularly protected IT environments. You will design Kubernetes-based platforms for AI inference, retrieval, experimentation, and agent-based applications, integrating and operating open-source and open-weight models, model-serving solutions, model gateways, vector databases, and internal user interfaces and APIs. Using Infrastructure as Code, GitOps, and automated deployment processes, you will create stable, reproducible, and auditable platform environments, managing private registries, local package and model repositories, secrets, access permissions, storage, network components, and observability solutions in environments with restricted or completely disconnected access to public cloud services. You will also optimize GPU, CPU, storage, and network resources for reliable AI workloads and ensure compliance with security, audit, and data sovereignty requirements.
Responsibilities
- Develop, implement, and operate a secure and high-performance AI toolchain for use in isolated or particularly protected IT environments.
- Design Kubernetes-based platforms for AI inference, retrieval, experimentation, and agent-based applications.
- Integrate and operate open-source and open-weight models, model-serving solutions, model gateways, vector databases, and internal user interfaces and APIs.
- Create stable, reproducible, and auditable platform environments using Infrastructure as Code, GitOps, and automated deployment processes.
- Manage private registries, local package and model repositories, secrets, access permissions, storage, network components, and observability solutions in environments with restricted or completely disconnected access to public cloud services.
- Optimize GPU, CPU, storage, and network resources for reliable AI workloads.
- Ensure compliance with security, audit, and data sovereignty requirements.
Requirements
- At least five years of experience in Platform Engineering, DevOps, Site Reliability Engineering, or MLOps
- Very good knowledge of Kubernetes and Linux
- Experience with AI infrastructure, model serving, and LLM-based applications
- Experience with private, on-premises, or isolated deployment environments
- Good knowledge of Python, Terraform, Ansible, Helm, and GitOps
- Strong knowledge of networking, storage, access control, and monitoring
- Experience with GPU-enabled platforms and the optimization of AI workloads
- Very good understanding of IT security, data sovereignty, and auditable operating models
- Very good written and spoken German skills at C1 level
- Experience with vLLM, Ollama, llama.cpp, or comparable model-serving solutions
- Knowledge of working with open-source or open-weight models
- Experience with vector databases such as Qdrant and Retrieval-Augmented Generation
- Knowledge of Argo CD, private registries, and local package or model repositories
- Experience with Open WebUI or comparable internal AI interfaces
- Knowledge of GPU scheduling, LLMOps, observability, and air-gapped environments
- Experience with VS Code-compatible integrations and internal AI interfaces
Skills
- Platform Engineering
- DevOps
- Site Reliability Engineering
- MLOps
- Kubernetes
- Linux
- AI infrastructure
- Model serving
- LLM-based applications
- Private deployment environments
- On-premises deployment environments
- Isolated deployment environments
- Python
- Terraform
- Ansible
- Helm
- GitOps
- Networking
- Storage
- Access control
- Monitoring
- GPU-enabled platforms
- AI workload optimization
- IT security
- Data sovereignty
- Auditable operating models
- German (C1 level)
- vLLM
- Ollama
- llama.cpp
- Open-source models
- Open-weight models
- Vector databases
- Qdrant
- Retrieval-Augmented Generation
- Argo CD
- Private registries
- Local package repositories
- Local model repositories
- Open WebUI
- GPU scheduling
- LLMOps
- Observability
- Air-gapped environments
- VS Code-compatible integrations
Work Type
- Remote
- Hybrid
- Part-time
Experience Level
- At least five years of experience
Benefits
- Flexible working hours
- Option to work remotely
- Hybrid working model
- Competitive salary package
- Extensive learning opportunities
- Training programs
- Career development initiatives
- Modern equipment
- Latest technologies and tools
- Open and collaborative working environment
- Teamwork and mutual support
- Health promotion programs
- Company pension scheme
- Employee discounts
- Public transport ticket options
About the Company
- At T-Systems, we provide our business customers with the right system solutions for their digital business.
- With our portfolio, we ensure that digital transformation reduces complexity, lowers costs, and makes everyday work easier.
- Our focus areas are Connectivity, Digital, Cloud & Infrastructure, and Security – Let's power higher performance!
Equal Opportunity
- People with disabilities will be given priority in cases of equal suitability.