Industrial AI Cloud - Platform Engineer (REF5501C)

Stack

Responsibilities

• ▹Operate & evolve the Kubernetes platform: build, configure, and maintain bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• ▹Design & operate the NVIDIA AI related software stack (Slurm, Run:AI)
• ▹Provide customized application support for AI related workloads
• ▹Container orchestration & automation: manage Helm charts, GitOps workflows, Ansible scripts, possibly Terraform code and automation for deploying services and AI workloads
• ▹Operate Kubernetes workloads: act as primary contact for all Kubernetes-related topics, including troubleshooting, performance tuning, and scaling
• ▹CI/CD & GitOps: develop and maintain CI/CD pipelines with Jenkins and GitLab; implement GitOps practices for consistent deployments and infrastructure changes; Terraform basics
• ▹Monitoring & observability: operate and enhance Prometheus and Grafana monitoring stacks for bare metal hosts, Kubernetes, and platform services
• ▹Container images & registries: build, optimize, and secure container images (Docker, Podman); manage registries and versioning, image scanning (Trivy)
• ▹Object storage & persistent volumes: integrate and maintain object storage solutions for AI workloads
• ▹Run AI & HPC workloads: support and operate distributed AI workloads within bare metal hosts and Kubernetes environments
• ▹Collaboration with infrastructure & AI teams: coordinate closely with infrastructure engineers, data center staff, and AI developers to ensure smooth delivery of services
• ▹ITIL processes: follow incident, problem, and change management workflows; create and maintain operational runbooks; adhere to ZERO outage guidelines

Requirements

• ▹Kubernetes Certified Administrator (CKA) or equivalent experience in production environments
• ▹NVIDIA GPU-accelerated server platform knowledge
• ▹Data Engineering, Data Transformation, Data Migration tools knowledge
• ▹Knowledge of the Nvidia AI software stack related to GPU orchestration
• ▹GPU based cloud platform software stack knowledge, including its dependencies on lower layers
• ▹Strong experience with CI/CD tools (Jenkins, GitLab) and GitOps practices
• ▹Proficiency with Helm charts and Kubernetes resource management
• ▹Scripting/programming in Python or Bash; Infrastructure-as-Code with Terraform and Ansible
• ▹Experience with container images (Docker, Podman) and image scanning
• ▹Familiarity with object storage systems and persistent volume management
• ▹Knowledge of monitoring and observability tools (Prometheus, Grafana)
• ▹Understanding of running AI/HPC workloads at scale
• ▹Strong troubleshooting and operational support skills in mission-critical environments

Nice to have

• ▹CKS (Certified Kubernetes Security Specialist) is an advantage

Soft skills

What we offer

• ▹Work on Europe's first industrial AI cloud with cutting-edge technologies
• ▹Direct collaboration with NVIDIA and Deutsche Telekom experts
• ▹Hybrid working model, training opportunities, and career progression

About the company

Deutsche Telekom IT Solutions, ranked as Hungary's most attractive employer in 2025 (according to Randstad's representative survey), is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5,300 employees, serving hundreds of large customers and corporations in Germany and other European countries. DT-ITS received the Best in Educational Cooperation award from HIPA in 2019 and was acknowledged as the Most Ethical Multinational Company the same year. The company continuously develops its four sites in Budapest, Debrecen, Pécs, and Szeged. NVIDIA and Deutsche Telekom are jointly developing the world's first industrial AI cloud for European manufacturers; this AI factory in Germany will host 10,000 GPUs across NVIDIA DGX B200 systems and RTX Pro Servers, with Deutsche Telekom providing secure, sovereign, and fast infrastructure including data centers, operations, security, and AI solutions.