Cloud Platform Architect

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team The Cloud Platform team owns the production inferencing service that serves SambaNova's models to customers on RDU accelerators, including capacity planning, deployment, monitoring, and incident response across regions in the United States, Asia, Europe, and Latin America. About the role The Cloud Operations team is seeking an experienced engineering leader to scale the platform our internal and external customers use to access SambaNova RDUs. Responsibilities In this role, you'll architecting our next-generation system from the ground up, running the [... source excerpt omitted ...] vice meshes) that seamlessly connect our multi-cloud and hybrid environments Collaborate with AI and software engineering teams to understand their needs, provide golden paths to production, and build internal tools that accelerate their development cycles Implement best practices for observability (monitoring, logging, tracing) to ensure system reliability and performance, and participate in on-call rotation Required Qualifications 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles Proficiency in at least one programming language (e.g., Python, Go, Rust) Expertise with Kubernetes (EKS, GKE, or self-managed) in production envir [... source excerpt omitted ...] rstanding of the core services (compute, storage, networking, IAM) Networking fundamentals (TCP/IP, DNS, HTTP, load balancing) and security best practices in the cloud Preferred Qualifications Experience in a hybrid environment bridging cloud and on-premise/data center infrastructure Experience managing infrastructure for data-intensive or ML/AI workloads Knowledge of building and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, ArgoCD) Experience with service mesh technologies (e.g., Istio, Linkerd) Contributions to open-source projects or a public portfolio of code (GitHub) Base Salary Range: Base Pay Range $245,000—$325,000 USD Submission Guidelines Please note that