Job Description
- Operate & Evolve Kubernetes Platform: Build, configure, and maintain bare metal hosts and Kubernetes clusters to run GPU/AI workloads.
- Design & Operate NVIDIA AI related software stack (Slurm, Run AI)
- Provide customized application support for AI related workloads
- Container Orchestration & Automation: Manage Helm charts, GitOps workflows, Ansible scripts, possibly Terraform code and automation for deploying services and AI workloads.
- Operate Kubernetes Workloads: Act as primary contact for all Kubernetes-related topics, including troubleshooting, performance tuning, and scaling.
- CI/CD & GitOps: Develop and maintain CI/CD pipelines with Jenkins and GitLab; implement GitOps practices for consistent deployments and infrastructure changes. Terraform basics.
- Monitoring & Observability: Operate and enhance Prometheus and Grafana monitoring stacks for bare metal hosts, Kubernetes and platform services.
- Container Images & Registries: Build, optimize and secure container images (Docker, Podman); manage registries and versioning, image scanning (Trivy).
- Object Storage & Persistent Volumes: Integrate and maintain object storage solutions for AI workloads.
- Run AI & HPC Workloads: Support and operate distributed AI workloads within bare metal hosts and Kubernetes environments.
- Collaboration with Infrastructure & AI Teams: Coordinate closely with Infrastructure Engineers, data center staff and AI developers to ensure smooth delivery of services.
- ITIL Processes: Follow incident, problem, and change management workflows; create and maintain operational runbooks. Adhere to ZERO outage guidelines.
- Work on Europe’s first industrial AI cloud with cutting-edge technologies.
- Direct collaboration with NVIDIA and Deutsche Telekom experts.
- Hybrid working model, training opportunities, and career progression.
- Kubernetes Certified Administrator (CKA) or equivalent experience in production environments. CKS advantage.
- NVIDIA GPU-Accelerated server platform knowledge
- Data Engineering, Data Transformation, Data Migration tools knowledge
- Knowledge of Nvidia AI software stack related to GPU orchestration
- GPU based Cloud platform software stack knowledge incl. its dependencies on below layers
- Strong experience with CI/CD tools (Jenkins, GitLab) and GitOps practices.
- Proficiency with Helm charts and Kubernetes resource management.
- Scripting/programming in Python or Bash; Infrastructure-as-Code with Terraform and Ansible.
- Experience with container images (Docker, Podman) and image scanning.
- Familiarity with object storage systems and persistent volume management.
- Knowledge of monitoring and observability tools (Prometheus, Grafana).
- Understanding of running AI/HPC workloads at scale.
- Strong troubleshooting and operational support skills in mission-critical environments.
- Ability to automate repetitive operational tasks and build self-service capabilities for developers.
- Security-conscious attitude in day-to-day operations.
- Excellent communication and cross-team coordination skills.
Job Details
| Role Level: | Mid-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Budapest Central Hungary Hungary |
| Company Website: | https://www.telekom.com/careers | Job Function: | Software Development |
| Company Industry/ Sector: |
Telecommunications | ||
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