- 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 management tooling.
- Security and governance components such as Vault,Keycloak, network policies, RBAC, admission controls, image scanning, SBOM tooling, and audit logging.
- Infrastructure awareness covering GPU-backed nodes, CPU-only fallback, storage performance, network isolation, proxy patterns,on-premiseenvironments, and dedicated landing zones.

Qualifications

- 5+ years in SRE, platform engineering, DevOps, cloud infrastructure, or operations roles with strong Kubernetes and Linuxexpertise.
- Proven experience building and operating production-grade engineering platforms withGitOps, Infrastructure as Code, observability, and operational runbooks.
- Hands-on skills in Terraform, Ansible, Helm, Python or shell scripting, CI/CD runners, private registries, and secure configuration management.
- Good understanding of networking, storage, secrets, access control, monitoring, backup, disaster recovery, and operational hardening in high-security environments.
- Comfortable supporting AI-enabled engineering workloads in sovereignty-driven contexts where isolation, controlled data handling, reliability, and auditability are mandatory.

Additional Information

Whatdoweofferyou?

- T-Social: socialinitiatives(sports,community,health, ...).
- Hybridworkmodel(remote/on-site).
- Flexibleworkinghours.

Growth&development;

- Weeklylanguageclasses(English & German).
- InternationalMentoringSessions&ExperienceDays.;
- Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).
- Socialfund.

Wellbeing& time off

- 26+workingdaysofvacationperyear.

And many more advantages of being part of T-Systems!

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