- Full-time

Company Description
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 integral team, guided by respect, integrity, and a passion for doing better every day.
Job Description
Key responsibilities
- Build andoperateKubernetes environments that host AI engineering tools, internal model gateways, retrieval components, workflow services, CI/CD runners, and documentation services.
- ImplementGitOpsand Infrastructure as Code patterns for reproducible provisioning, configuration, policy enforcement, platform upgrades, and disaster recovery readiness.
- Manage private registries, package mirrors, secrets, identity integration, network segmentation, storage classes, backup routines,



and controlled connectivity models.
- Provide observability for engineering workloads, including metrics, logs, traces, GPU and CPUutilization, service health, cost signals, and operational runbooks.
- Work with software, security, and architecture teams to ensure the platform supports AI-assisted SDLC workflows without creating uncontrolled data exposure or audit gaps.

Examples of market tools, models, and platform components expected
- Platform tooling such as Kubernetes, Helm, Terraform, Ansible,ArgoCD,Crossplane, GitLab runners, Jenkins agents, private registries, and internal package mirrors.
- AI platform components such asvLLM,Ollama, OpenAI-compatible gateways,Qdrantor similar vector stores, OpenWebUI, Continue-compatible endpoints, and workflow services.
- Observability and operations stacks such as Prometheus, Grafana, Loki,OpenTelemetry, ELK/OpenSearch,Alertmanager, SRE runbooks, and incident managem

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