Industrial AI Cloud - Platform Engineer

Stack

Responsibilities

• ▹Build, configure, and maintain bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• ▹Design and operate the NVIDIA AI software stack (Slurm, Run:AI)
• ▹Provide customized application support for AI-related workloads
• ▹Manage Helm charts, GitOps workflows, Ansible scripts, and possibly Terraform code for deploying services and AI workloads
• ▹Act as primary contact for all Kubernetes-related topics, including troubleshooting, performance tuning, and scaling
• ▹Develop and maintain CI/CD pipelines with Jenkins and GitLab; implement GitOps practices for consistent deployments and infrastructure changes
• ▹Operate and enhance Prometheus and Grafana monitoring stacks for bare metal hosts, Kubernetes, and platform services
• ▹Build, optimize, and secure container images (Docker, Podman); manage registries, versioning, and image scanning (Trivy)
• ▹Integrate and maintain object storage solutions for AI workloads
• ▹Support and operate distributed AI/HPC workloads within bare metal and Kubernetes environments
• ▹Coordinate closely with Infrastructure Engineers, data center staff, and AI developers
• ▹Follow ITIL 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 (CKS an advantage)
• ▹NVIDIA GPU-accelerated server platform knowledge
• ▹Knowledge of data engineering, data transformation, and data migration tools
• ▹Knowledge of the NVIDIA AI software stack for GPU orchestration
• ▹GPU-based cloud platform software stack knowledge, including 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

• ▹Ability to automate repetitive operational tasks and build self-service capabilities for developers
• ▹Security-conscious attitude in day-to-day operations
• ▹Excellent communication and cross-team coordination skills

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 is a subsidiary of the Deutsche Telekom Group, delivering a broad portfolio of IT and telecommunications services with more than 5,300 employees to large corporate clients in Germany and across Europe. Ranked among Hungary's most attractive employers in 2025 (Randstad survey), the company keeps growing its 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.