Senior Cloud Platform Engineer

• In this role, you’ll architecting our next-generation system from the ground up, running the Kubernetes infrastructure that powers some of the most advanced AI workloads in the industry, and bridging multi-cloud and on-prem environments in ways no generic SaaS company can offer
• Your work will directly impact the productivity of every engineer at SambaNova and by extension, the speed at which we ship the future of AI computing
• Architect, build, and maintain our next-generation internal developer platform, automating and streamlining our cloud and on-prem infrastructure
• Design, write, and manage Terraform modules to provision and manage resources across AWS, GCP, and Azure, ensuring consistency and reproducibility
• Build and manage highly available, secure, and performant Kubernetes clusters that serve as the primary runtime for our diverse AI workloads
• Design and implement robust networking solutions (VPCs, load balancers, firewalls, service 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

Benefits

• Flexible PTO in US
• Parental Leave
• Benefits (medical, dental and vision)
• Flexible Spending Accounts
• 401k/Pensions
• Gym Access
• Flexible Working Hours- Expertise with Kubernetes (EKS, GKE, or self-managed) in production environments - pods, operators, CRDs, CNIs, etc
• Proficiency in at least one programming language (e.g., Python, Go, Rust)
• Expertise with Infrastructure as Code with the ability to manage complex, multi-cloud environments
• 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles
• Networking fundamentals (TCP/IP, DNS, HTTP, load balancing) and security best practices in the cloud
• Strong proficiency with at least one major cloud provider (AWS, GCP, or Azure), with a solid understanding of the core services (compute, storage, networking, IAM)
• Experience in a hybrid environment bridging cloud and on-premise/data center infrastructure
• Contributions to open-source projects or a public portfolio of code (GitHub)
• Experience with service mesh technologies (e.g., Istio, Linkerd)
• Knowledge of building and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, ArgoCD)
• Experience managing infrastructure for data-intensive or ML/AI workloads