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Platform Engineer (m/f/d) Industrial AI Cloud

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Onsite

Platform Engineer (m/f/d) Industrial AI Cloud

T-Mobile

Platform Engineer (m/f/d) Industrial AI Cloud

Skills

Data EngineeringDockerPythonGitLabJenkinsGrafanaAIAnsiblePrometheusKubernetesITILChange ManagementTerraform

10 days ago

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Important information


Location:

Budapest, Hungary

Work mode:

Onsite

Published on:

16 October 2026

What they need


Job ID: 744000127003516

Platform Engineer (m/f/d) Industrial AI Cloud

Budapest, Debrecen, Pécs, Szeged

Professional

Regular

Deutsche Telekom TSI Hungary Kft.

Your Task

We are seeking a Platform Engineer to build, automate, and operate the platform services of the Industrial AI Cloud. This role focuses on running and evolving large-scale Kubernetes clusters, container orchestration platforms, CI/CD pipelines, GitOps and associated automation to support AI workloads. You'll be part of the team supporting Kubernetes workloads, ensuring smooth operations and continuous improvement of the platform layer, while collaborating with infrastructure, security, and AI teams.

Key Responsibilities

  • Operate & Evolve Kubernetes Platform: Build, configure, and maintain bare metal hosts and Kubernetes clusters to run GPU/AI workloads.
  • Design & Operate 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.

Your Profile

We are seeking a Platform Engineer with strong expertise in Kubernetes, container orchestration, CI/CD pipelines, and GPU-accelerated AI workloads. The ideal candidate should have relevant certifications, extensive experience with cloud-native technologies, Infrastructure as Code tools, and the ability to operate mission-critical platforms at scale.

Must Have Skills

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

Nice to Have Skills

  • Kubernetes Certified Security Specialist (CKS) certification
  • Ability to automate repetitive operational tasks
  • Ability to build self-service capabilities for developers
  • Security-conscious attitude in day-to-day operations
  • Excellent communication skills
  • Excellent cross-team coordination skills

About Us

As Hungary's most attractive employer in 2025 (according to Randstad's representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.

DT-ITS received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Benefits

  • 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
  • Career progression

Company Policies

  • Remote working possibility is only available within Hungary due to European taxation regulation

Additional Details

You will be working in the European Union to meet our customers' data security and privacy requirements.

Job Benefits

Professional Development

  • Training opportunities
  • Career progression

Work-Life Balance

Hybrid working model

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