DevOps Engineer (Expert) for Industrial AI Cloud (m/f/d)

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 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. Deutsche Telekom provides secure, sovereign and fast infrastructure, including data centers, operations, security, and AI solutions.

Role Overview

DevOps Engineer (Expert) / DevOps Engineer provides consultation of functional organization to implement DevOps principles in term of culture and technologies. Holder of the position prepares prototypes and concepts for further automation of assigned technology, driving continuous improvement. DevOps Engineer is responsible for entire lifecycle of Continuous Integration/Continuous Deployment pipelines and Infrastructure as Code approaches.

Other skills

- Good communication skills, analytical thinking, team cooperation, presentation skills, negotiation skills
- Project Management- Basic
- Leadership skills- Basic
- Quality management- Intermediate

Responsibilities

Design, develop, test, implement and support ICT components and applications in order to deliver quality standard product portfolio on AI Cloud platform.; Develop concepts, processes and methods for automation, optimization, and standardization to satisfy efficiency and automation requirements.; Consult and provide project deliverables to fulfill the project scope.; Own responsibility for maintenance & support of enhancement of the Product pipelines with further levels of value chain, connecting pipeline to different platforms and infrastructures, integration of different platforms and infrastructures into the pipeline, root-cause analysis of pipeline runtime errors; Develop, and implement architecture of services based on AI Cloud platform requirements.; Solve and coordinate activities across related technologies/outside own team.; Setup and manage integration with partner applications.

Requirements

Have good knowledge of Kubernetes container-based technologies.; Have experience with scripting languages (Python/Bash).; Have experience with Automation tools and automation deployments (Ansible / Salt-stack / Terraform / Helm).; Have experience with CI/CD in a Kubernetes environment and repository management.; Have knowledge of automation with Git (GitHub, GitLab) and CI/CD tools like GitHub Actions or GitLab CI/CD; Experience with Linux OS.; Experience with monitoring and visualization tools (Grafana, Prometheus, …).; Speak English at B2 level, German is an advantage.

Benefits

Financial benefits; Benefits with focus on learning and development; Benefits with focus on health and sport; Benefits with focus on family and work – life balance; Other benefits