Industrial AI Cloud - Platform Engineer (REF5501C)
Deutsche Telekom IT Solutions5 months ago
Budapest, HungarySenior
Responsibilities
- Build, configure, maintain, and operate bare-metal hosts and large-scale Kubernetes clusters for GPU and AI workloads.
- Design and operate the NVIDIA AI software stack, including Slurm and Run:ai, and provide application support for AI workloads.
- Manage Helm charts, GitOps workflows, Ansible scripts, Terraform automation, and Kubernetes resources.
- Develop and maintain Jenkins and GitLab CI/CD pipelines and implement consistent deployment and infrastructure-change practices.
- Troubleshoot, performance-tune, scale, and serve as the primary contact for Kubernetes-related topics.
- Operate Prometheus and Grafana monitoring and observability stacks for hosts, Kubernetes, and platform services.
- Build, optimize, secure, scan, and manage Docker and Podman container images and registries.
- Integrate and maintain object storage and persistent-volume solutions for AI workloads.
- Support distributed AI and HPC workloads across bare-metal and Kubernetes environments.
- Collaborate with infrastructure engineers, data center staff, security teams, and AI developers to deliver reliable services.
- Follow incident, problem, and change-management workflows, maintain operational runbooks, and adhere to zero-outage guidelines.
Requirements
- Production Kubernetes experience, with CKA certification or equivalent experience required and CKS considered an advantage.
- Knowledge of NVIDIA GPU-accelerated server platforms, NVIDIA AI software, GPU orchestration, and GPU-based cloud-platform dependencies.
- Knowledge of data engineering, data transformation, and data migration tools.
- Strong experience with Jenkins, GitLab, CI/CD tooling, and GitOps practices.
- Proficiency with Helm charts and Kubernetes resource management.
- Ability to script or program in Python or Bash.
- Experience with Infrastructure as Code using Terraform and Ansible.
- Experience with Docker, Podman, container registries, and image-scanning tools.
- Familiarity with object storage, persistent-volume management, Prometheus, and Grafana.
- Understanding of AI and HPC workloads at scale and strong troubleshooting and operational-support skills in mission-critical environments.
- Ability to automate repetitive operational tasks and build self-service capabilities for developers.
- Security-conscious working approach and strong communication and cross-team coordination skills.
Benefits
- Work on Europe’s first industrial AI cloud using cutting-edge technologies.
- Collaborate directly with NVIDIA and Deutsche Telekom experts.
- Hybrid working model; remote work is available only within Hungary due to European taxation regulations.
- Training opportunities and career progression.
- The role is based in the European Union to meet customer data-security and privacy requirements.
Tech Stack
Categories
About Deutsche Telekom IT Solutions
Deutsche Telekom IT Solutions is the Hungarian IT services arm of Deutsche Telekom, founded in 2006 and headquartered in Budapest. It delivers managed IT operations, cloud and DevOps services, application support, and system integration for Deutsche Telekom units and enterprise customers across Europe. The company operates from four sites—Budapest, Debrecen, Pécs, and Szeged—supporting large-scale infrastructure, CI/CD pipelines, and containerized workloads on platforms such as Kubernetes and T-Cloud Public.