Job description

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. 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 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 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 environments - pods, operators, CRDs, CNIs, etc. Expertise with Infrastructure as Code with the ability to manage complex, multi-cloud environments 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) 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 in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

Requirements

Must-haves

The Cloud Operations team is seeking an experienced engineering leader to scale the platform our internal and external customers use to access SambaNova RDUs.
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
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 environments - pods, operators, CRDs, CNIs, etc.
Expertise with Infrastructure as Code with the ability to manage complex, multi-cloud environments
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)
Networking fundamentals (TCP/IP, DNS, HTTP, load balancing) and security best practices in the cloud

Nice-to-haves

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)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesawsgcpazurepythongorustmlci/cd

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision