
Senior Infrastructure Architect
3 days ago
This role focuses on designing and implementing platforms to support AI workloads.
Main Responsibilities- Develop infrastructure solutions for enterprise-grade AI applications.
- Collaborate with cross-functional teams to deliver projects on time and within budget.
The ideal candidate will have strong technical expertise in Kubernetes, HPC, and AI/ML.
Required Skills and QualificationsKubernetes Expertise- Proficiency in container orchestration platforms, especially Red Hat OpenShift and CNCF Kubernetes.
- Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM.
- Architecting HPC clusters, including GPU/compute nodes and HPC storage technologies.
- High-speed networking and experience with HPC cluster management tools.
- Strong background in Linux system administration and virtualization.
- Primary focus on HPE servers and storage; experience with other vendors is acceptable.
- Deploying and supporting NVIDIA AI Enterprise and related AI/ML frameworks.
- Familiarity with DevOps/MLOps practices, including CI/CD and cloud-native security.
- Demonstrated success in infrastructure project delivery, including platform build-outs for AI/ML and HPC workloads.
- Ability to collaborate with cross-functional teams and align technical solutions with business goals.
This role involves working on complex infrastructure projects with a focus on delivering high-quality results.
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