Telecom operator scaling cloud infrastructure and AI/ML capabilities across hybrid environments
T-Mobile Polska is a Deutsche Telekom subsidiary operating a 1,000–5,000-person telecom and technology organization in Poland. The tech stack reveals a major infrastructure modernization underway: heavy investment in GCP (adopting), Kubernetes, and containerization (Docker, FastAPI) alongside emerging AI/ML tools (LangChain, LlamaIndex, Vertex AI, MLflow), while moving away from Oracle and Hadoop. Engineering-led hiring (14 roles) focused on senior and mid-level talent signals rapid scaling of cloud platforms, RAG infrastructure, and hybrid data architectures—core projects that align with the pain-point pattern of legacy load-balancer refactoring and cost optimization across on-premise and cloud.
T-Mobile Polska delivers mobile, fixed-line, and enterprise services as part of Deutsche Telekom's European footprint. Operationally, the company is shifting from legacy on-premise infrastructure toward a hybrid cloud model centered on GCP, Kubernetes, and modern observability (Prometheus, Grafana, Dynatrace). Active projects span CaaS/PaaS platform development, autonomous systems, RAG infrastructure for AI features, and cost optimization across hybrid workloads. The organization employs roughly 1,000–5,000 people and is actively hiring across engineering, data, and operations roles, concentrated in Poland.
AWS is in active use; GCP is being adopted. The company is expanding GCP landing zones and optimizing hybrid cloud/on-premise data platform architecture. They are migrating away from Oracle and Hadoop.
Key projects include RAG infrastructure, CaaS/PaaS platform development, F5 BIG-IP solution design, autonomous systems, load-balancer automation and refactoring, GCP landing-zone expansion, and hybrid cloud/on-premise data architectures.
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