Job Description
About the Role
We are looking for a Systems or Solutions Architect with deep expertise in networking, infrastructure-as-a-service (IaaS), and cloud-scale system design to help architect and optimize AI/ML infrastructure.
The ideal candidate combines strong fundamentals in cloud architecture (AWS or equivalent), networking, compute, and storage, with hands-on experience in Kubernetes, observability, and automation.
You'll design scalable systems that support large AI workloads — enabling efficient training, inference, and data pipelines across distributed environments.
Key Responsibilities
- Architect and scale AI/ML infrastructure across public cloud (AWS / Azure / GCP) and hybrid environments.
- Design and optimize compute, storage, and network topologies for distributed training and inference clusters.
- Build and manage containerized environments using Kubernetes, Docker, and Helm.
- Devel...
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