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 general 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 management tooling.
Secu

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