Live opening · Posted 1 day ago

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

Deutsche Telekom IT Solutions Slovakia · Košice, Košický kraj, Slovakia (Slovak Republic)
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyDeutsche Telekom IT Solutions Slovakia
LocationKošice, Košický kraj, Slovakia (Slovak Republic)
Job typeFull-time
Work modeHybrid
SkillsPython, Kubernetes, Terraform
SourceSmartrecruiters
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

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.
WHAT WILL YOU DO?
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.
YOU WILL SUCCEED IF YOU:
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.
Other skills:
Good communication skills, analytical thinking, team cooperation, presentation skills, negotiation skills
Project Management- Basic
Leadership skills- Basic
Quality management- Intermediate

Employment type
Full-time

Work arrangement
Hybrid

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