Purpose
NVIDIA and Deutsche Telekom are jointly developing industrial AI cloud for Europe. This AI factory in Germany will host 10000 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. Youll 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 compute optimization to building endtoend AI/ML pipelines.
As a trusted technical advisor you will empower customers to use their GPU clusters and AI toolchains efficiently troubleshoot challenges and adopt best practices that accelerate their AI journey.
WHAT WILL YOU DO
- 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.
- 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 troubleshooting finetuning and validation of delivered solutions.
- Act as the key technical point of contact coordinating crossfunctional teams across infrastructure networking automation security and AI services.
- Propose and develop automation concepts to improve services processes and operating models.
- Ensure best practices in reliability scalability responsible AI and security are applied across the customer lifecycle.
- Support monitoring observability and capacity planning for AI workloads and GPU utilization.
Qualifications :
YOU WILL SUCCEED IF YOU:
- Have Masters 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/Python/Bash)
- 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 )
Other skills:
- Good communication skills analytical thinking team cooperation presentation skills negotiation skills
- speak English- Advanced (C1) German is an advantage
- Project Management- Basic
- Leadership skills- Basic
- Quality management- Intermediate
- Financial literacy- Intermediate
Additional Information :
Benefits
We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work career growth private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:
- 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
For more information about our benefits click to Benefits
Salary
Final salary is negotiable.
We are offering base salary depending on seniority level and previous experience of addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3 800 /brutto.
Additional information
* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
PurposeNVIDIA and Deutsche Telekom are jointly developing industrial AI cloud for Europe. This AI factory in Germany will host 10000 GPUs across NVIDIA DGX B200 systems and RTX Pro Servers. Deutsche Telekom provides secure sovereign and fast infrastructure including data centers operations security ...
Purpose
NVIDIA and Deutsche Telekom are jointly developing industrial AI cloud for Europe. This AI factory in Germany will host 10000 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. Youll 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 compute optimization to building endtoend AI/ML pipelines.
As a trusted technical advisor you will empower customers to use their GPU clusters and AI toolchains efficiently troubleshoot challenges and adopt best practices that accelerate their AI journey.
WHAT WILL YOU DO
- 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.
- 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 troubleshooting finetuning and validation of delivered solutions.
- Act as the key technical point of contact coordinating crossfunctional teams across infrastructure networking automation security and AI services.
- Propose and develop automation concepts to improve services processes and operating models.
- Ensure best practices in reliability scalability responsible AI and security are applied across the customer lifecycle.
- Support monitoring observability and capacity planning for AI workloads and GPU utilization.
Qualifications :
YOU WILL SUCCEED IF YOU:
- Have Masters 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/Python/Bash)
- 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 )
Other skills:
- Good communication skills analytical thinking team cooperation presentation skills negotiation skills
- speak English- Advanced (C1) German is an advantage
- Project Management- Basic
- Leadership skills- Basic
- Quality management- Intermediate
- Financial literacy- Intermediate
Additional Information :
Benefits
We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work career growth private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:
- 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
For more information about our benefits click to Benefits
Salary
Final salary is negotiable.
We are offering base salary depending on seniority level and previous experience of addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3 800 /brutto.
Additional information
* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
View more
View less