Deutsche Telekom IT Solutions Slovakia
Tech / AI / Software
DevOpsEngineerProfessional
Neural analysis suggests this role is
optimal for mid candidates.
“DevOps Engineer Professional at Deutsche Telekom IT Solutions Slovakia. Skills: DevOps, AI, Cloud, GPU, Kubernetes, CI/CD, Automation, Customer Facing. Consult customers on all technical aspects related to GPU infrastructure, AI/ML model training, and platform usage.. Lead onboarding and training, mentoring customer specialists on optimal usage of their GPU clusters and AI environments.”
Industry & Context.
Analytical thinking; Troubleshooting
Customer facing position, Sign-On Bonus: 5000 €
What They're Looking For.
Must Have
Master`s degree in Information technologies, 5+ years - Experience in the design and delivery of systems based on IaaS, PaaS and SaaS, 3+ years - Experience in building CI/CD pipelines and serverless architectures, AI Factory Cloud platform SW stack knowledge incl. its dependencies on below layers, NVIDIA GPU-Accelerated server platform knowledge, Data Engineering, Data Transformation, Data Migration tools knowledge, Solid knowledge of Kubernetes (or similar) container-based technologies, Expert knowledge with VMware environments (VMware Tanzu Kubernetes), Expert knowledge with scripting languages (Go/Pythonash), Expert knowledge with Automation tools and automation deployments (Ansible/Salt-stack/Terraform/Helm), Expert knowledge with CI/CD in a Kubernetes environment and repository management, Expert in automation with Git (GitHub, GitLab) and CI/CD tools like GitHub Actions or GitLab CI/CD, Experience with Linux OS, Experience with Software Defined Networking (SDN), Experience with monitoring and visualization tools (Grafana, Prometheus, …)
Nice to Have
German is an advantage, Project Management- Basic, Leadership skills- Basic, Quality management- Intermediate, Financial literacy- Intermediate
What You'll Do.
Consult customers on all technical aspects related to GPU infrastructure
Lead onboarding and training
mentoring customer specialists on optimal usage of their GPU clusters and AI environments.
Design and implement PoCs
including environment setup
data processing pipelines
and deployment workflows.
Conduct requirement engineering
translating business needs into technical specifications.
Assist customers with performance optimization
and validation of delivered solutions.
Act as the key technical point of contact
coordinating cross-functional teams across infrastructure
Propose and develop automation concepts to improve services
and operating models.
Ensure best practices in reliability
and security are applied across the customer lifecycle.
and capacity planning for AI workloads and GPU utilization.
How You'll Work.
Team & Collaboration
Act as the key technical point of contact, coordinating cross-functional teams across infrastructure, networking, automation, security, and AI services.
Communication Scope
Good communication skills; Presentation skills; Negotiation skills
Process & Methodology
Project Management- Basic
Full Job Description
Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services. Purpose NVIDIA and Deutsche Telekom are jointly developing industrial AI cloud for Europe. This AI factory in Germany will host 10,000 GPUs across NVIDIA DGX B200 systems and RTX Pro Servers. Deutsche Telekom provides secure, sovereign and fast infrastructure, including data centers, operations, security, and AI solutions. DevOps Engineer Professional (Principal) / AI Consultant Customer Facing Engineer you will guide enterprise customers through onboarding, training, and early adoption of the AI platform. Your responsibility includes understanding customer requirements, supporting solution design, executing Proofs of Concept (PoCs), and ensuring smooth integration of customer workloads (LLMs, GPU compute, AI pipelines). You act as a trusted technical advisor, helping customers efficiently use their GPU clusters and AI toolchains. We are looking for a DevOps Engineer Professional / Senior Customer Facing position who will play a key role in helping our enterprise customers successfully adopt and scale our AI platform. In this position, you will guide clients through onboarding, training, and early-stage implementation of cutting-edge AI solutions. You’ll work closely with them to understand their technical and business needs, support the design of tailored architectures, and lead Proofs of Concept that validate real-world value. You will ensure smooth integration of complex workloads — from LLM deployment and GPU comp
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