Cloud Platform Engineer - New Grad
About The Position
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform to customers worldwide. Its technology is built around the Reconfigurable Dataflow Unit (RDU), a chip based on a dataflow architecture, packaged into rack-scale SambaRack hardware. The Cloud Platform team operates the production inference service that serves SambaNova models on RDU accelerators. The service covers deployment, monitoring, capacity planning, and incident response across regions in the United States, Asia, Europe, and Latin America. As a new graduate Cloud Platform Engineer, you will write automation and infrastructure code to keep the inference service fast and available. You will build monitoring and dashboards, manage Kubernetes clusters and Terraform modules, assist with launching new regions, and join a shared on-call rotation after ramping up.
Requirements
- B.S. in Computer Science, Computer Engineering, or a related field.
- Strong programming or scripting skills in Python, Go, or a similar language.
- Familiarity with Linux and command-line tools.
- Coursework or project experience in distributed systems, networking, or cloud computing.
- Understanding of networking fundamentals, including TCP/IP, DNS, and HTTP.
- Experience with Docker and Kubernetes.
- Experience with a public cloud provider such as AWS, GCP, or Azure.
- Experience with Terraform or other infrastructure-as-code tools.
- Experience with monitoring tools such as Prometheus or Grafana.
- Experience with CI/CD tools such as GitHub Actions, Jenkins, or ArgoCD.
Nice To Haves
- M.S. in Computer Science, Computer Engineering, or a related field.
- Familiarity with model-serving frameworks such as vLLM or SGLang.
- Internship experience in site reliability, DevOps, or backend infrastructure.
- Ownership of or contributions to open-source projects.
Responsibilities
- Build monitoring, alerting, and dashboards using Prometheus, Grafana, and Datadog.
- Manage cloud and on-premises infrastructure as code with Terraform and Ansible.
- Operate and maintain Kubernetes clusters that run inference workloads.
- Help automate setup of AI infrastructure in new regions.
- Build CI/CD pipelines to safely deploy new model versions and service updates.
- Participate in a shared on-call rotation and incident response.
Benefits
- Competitive total rewards package including base salary, equity, and benefits.
- 95% premium coverage for employee medical insurance.
- 77% premium coverage for dependent medical insurance.
- Health Savings Account (HSA) with employer contribution.
- Dental insurance.
- Vision insurance.
- Short- and long-term disability insurance.
- Basic Life, Voluntary Life, and AD&D insurance plans.
- Flexible Spending Account (FSA) options for health care, limited purpose, and dependent care.
- Headspace subscription.
- Gympass+ membership with access to physical gyms.
- One Medical membership.
- Counseling services through an Employee Assistance Program.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
