Sovereign AI Platform Engineer

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components
• Build reproducible platform automation using Infrastructure as Code and GitOps approaches for stable, auditable delivery
• Manage local registries, package mirrors, secrets, access controls, storage, networking, and observability in environments with limited or no public cloud dependency.
• Optimize GPU, compute, and storage usage for reliable AI workloads while maintaining security and data sovereignty requirements

Examples of market tools, models, and platform components expected

• Inference and local serving stacks such as vLLM, Ollama, llama.cpp, or OpenAI-compatible self-hosted endpoints.
• Open-source or open-weight models appropriate for sovereign deployment, for example coding-capable and general-purpose families hosted internally through approved serving layers.
• Platform tooling such as Kubernetes, Helm, Terraform, Ansible, ArgoCD, private registries, Qdrant or similar vector stores, and Open WebUI or comparable internal interfaces.
• Developer-facing integration options such as VS Code-compatible extensions, Continue-style local model connectors, or editor integrations pointed at internal APIs instead of external SaaS endpoints.
• Hardware awareness covering GPU-backed nodes, CPU-only fallback options, storage performance, network isolation, and on-prem or dedicated infrastructure patterns.

• 5+ years in platform engineering, DevOps, SRE, or MLOps, with strong Kubernetes and Linux expertise.
• Proven experience with AI infrastructure, model serving, private or on-prem deployments, and production operations for LLM-based workloads.
• Strong hands-on skills in Python plus automation tooling such as Terraform, Ansible, Helm, and GitOps workflows.
• Good understanding of networking, storage, access control, monitoring, and operational hardening in high-security environments.
• Comfortable working in sovereignty-driven environments where auditability, isolation, and controlled data handling are mandatory.

T-Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.