Required skills
- Kubernetes
- DevOps
- NVIDIA GPUs
- CUDA
- cuDNN
- Multi-GPU Scheduling
- Kong
- Model Serving
- NVIDIA Triton Inference Server
- Service Mesh
- Istio
- API Security
- Rate Limiting
- Audit Logging
- Model Monitoring
- Observability
- Grafana
- MLflow
- Keycloak
- cert-manager
Languages: German
Job description
We are looking for an expert in Kubernetes, DevOps, NVIDIA GPUs, and Kong for a role involving infrastructure setup and management, with a focus on AI workloads. The position is primarily remote with some on-site requirements.
Project overview
For our client, we are currently looking for an
Expert for Kubernetes | DevOps | NVIDIA GPUs | Kong | max. 90€ all in - Düsseldorf, Kaarst (20%) | Remote (80%)
Framework Information
Your Qualifications
- Reference: 180526
- Start: 2026-11-02
- Duration: until 12/31/2026 + annual extension
- Location: Düsseldorf, Kaarst (20%) | Remote (80%)
- Scope of work: full-time
- Languages: German
- Experience with Kubernetes – focus of the activity, especially in the setup, operation, and administration of Kubernetes clusters
- Experience with GPU infrastructures, ideally with NVIDIA GPUs, including CUDA, cuDNN, and multi-GPU scheduling
- Knowledge of working with API managers, e.g., Kong
- Experience with Model Serving, e.g., with NVIDIA Triton Inference Server
- Knowledge in the area of Service Mesh, ideally with Istio
- Experience with API security, especially rate limiting and audit logging
- Knowledge in the area of Model Monitoring and Observability, especially with Grafana for creating dashboards
- Experience with workflow orchestration in the ML environment, e.g., with MLflow
- Knowledge in the operation and administration of Keycloak and cert-manager
Responsibilities
Interested?
We look forward to receiving your comprehensive application documents in electronic form.
Your Contact Persons
Mr. Jesse Lüder | #gerneperdu
P: [contact removed]
E: [contact removed]
- Setup and optimization of a scalable NVIDIA GPU infrastructure including CUDA and CuDNN configuration as well as multi-GPU scheduling for parallel AI workloads.
- Implementation and management of an API manager (e.g., Kong) for central control and security of microservice interfaces.
- Setup of a Model Serving framework (e.g., Triton Inference Server) for high-performance deployment and versioning of AI models.
- Containerization and orchestration of AI services with Kubernetes, including deployment strategies, scaling, and cluster monitoring.
- Integration of a Service Mesh (e.g., Istio) for implementing traffic management, service discovery, and zero-trust communication.
- Implementation of API security mechanisms such as rate limiting, authentication, authorization, and audit logging.
- Setup of a model monitoring system with Grafana and Prometheus for monitoring model performance and system metrics.
- Introduction of a workflow orchestration solution (e.g., MLFlow) for managing training, validation, and deployment pipelines.
- Administration of operational components such as Keycloak (Identity & Access Management) and cert-manager (TLS certificate management) to ensure productive operation.
Project details
- Start: 2026-11-02
- Duration: bis 31.12.2026 + Verlängerung Jahresweise
- Remote: hybrid
- Location: Düsseldorf, DE
- Languages: German
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