Cloud Solutions Architect

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Requirements:

• 5+ years of experience as a cloud solutions architect, system/network engineer, or developer with a focus on cloud computing.
• Strong hands-on experience with Infrastructure as Code (IaC) tools, preferably Terraform or Ansible.
• Experience with Kubernetes and proficiency in writing code in Python.
• Solid understanding of GPU computing practices for ML training and inference workloads.
• Familiarity with GPU software stack components including drivers and libraries (e.g., CUDA, OpenCL).
• Excellent communication skills and a customer-centric mindset.

Responsibilities:

• Act as a trusted advisor to clients, providing technical expertise throughout engagements.
• Conduct Proof of Concept (PoC), workshops, presentations, and training sessions to educate clients on GPU cloud technologies.
• Collaborate with clients to understand business requirements and develop aligned solution architecture.
• Design and document Infrastructure as Code (IaC) solutions in collaboration with support engineers.
• Help customers optimize pipeline performance and scalability for efficient utilization of cloud resources.
• Serve as the single point of expertise for customer scenarios for product and technical support.
• Assist marketing department during events like hackathons, conferences, and webinars.