Deutsche Telekom IT Solutions

IT and telecommunications

DevOps&FrontendEngineer3DVisualization

Budapest, Hungary; Debrecen, Hungary; Pécs, Hungary; Szeged, Hungary FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“DevOps & Frontend Engineer – 3D Visualization at Deutsche Telekom IT Solutions. Skills: DevOps, Frontend Engineering, 3D Visualization, three.js, WebGL, Linux, Docker, CI/CD, GPU infrastructure. Design and maintain the network infrastructure (LAN, high-throughput data streams, low latency). Set up and manage Linux-based systems on embedded devices (Jetson), edge servers, and GPU nodes”

Industry & Context.

IT and telecommunications
Eligibility Requirements

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

What They're Looking For.

Must Have

Linux system administration (Ubuntu or similar), networking fundamentals (TCP/UDP, routing, bandwidth optimization), containerization (Docker), CI/CD pipelines, GPU environments (CUDA, drivers, monitoring), deploying and maintaining distributed systems, JavaScript / TypeScript, three.js or comparable WebGL frameworks, 3D graphics fundamentals (camera, lighting, transformations), real-time or interactive applications, performance optimization in the browser, Hungarian and/or German or English language skills

Nice to Have

edge devices such as NVIDIA Jetson Nano or similar, high-throughput data pipelines, Kubernetes or similar orchestration tools, robotics, vision systems, or real-time applications, WebGL / shaders, 3D data formats (meshes, point clouds), streaming or real-time data pipelines, visualization, simulation, or gaming

What You'll Do.

Design and maintain the network infrastructure (LAN

high-throughput data streams

Set up and manage Linux-based systems on embedded devices (Jetson)

Build and maintain a reproducible development environment (CI/CD

Manage GPU infrastructure (drivers

Ensure system reliability

and fault tolerance across distributed components

Develop a real-time 3D visualization of a digital twin using three.js

Implement efficient rendering of dynamic geometry (e.g. streamed surfaces

Build intuitive camera navigation and interaction tools

Integrate live data streams into the frontend

Optimize rendering performance for large-scale scenes

Full Job Description

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 recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the 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. Support of an AI-based administration platform for the public sector in Germany. Together with SAP, we are developing a corresponding app (SAP is developing the frontend) as well as the backend with AI functionalities. What You’ll Work On A distributed system spanning embedded devices, edge compute, and GPU servers, enabling real-time processing and visualization of large-scale 3D environments. A production-grade system that fuses data from many cameras into a live 3D digital twin, enabling visualization, analysis, and automation in real environments. DevOps & Frontend Engineer – 3D Visualization (three.js / WebGL) We are building a real-time 3D perception platform that processes data from distributed sensor systems and reconstructs a live digital twin. To support this, we need a robust and scalable infrastructure across embedded devices, edge servers, and GPU systems. Your Responsibilities * Design and maintain the network infrastructure (LAN, high-throughput data streams, low latency) * Set up and manage Linux-based systems on embedded devices (Jetson), edge servers, and GPU nodes * Build and maintain a reproducible development environment (CI/CD, containerization, deployment) * Manage GPU infrastructure (drivers, CUDA, monitoring, performance tuning) * Ensure system reliability, observability, and fault tole

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