Senior Principal Cloud Platform Engineer

The role

You will set the technical direction for the AI inferencing platform to ensure reliability, speed, and scalability. The role involves monitoring, deployment, capacity planning, and incident response, including a shared 24/7 on-call rotation.

What you will do

• Own the availability, latency, and efficiency of the production inferencing service
• Define the reliability and platform engineering strategy including SLOs and multi-region architecture
• Build and maintain monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog
• Lead incident response for high-severity events and run blameless post-mortems
• Find and fix performance bottlenecks and design auto-scaling and capacity planning policies
• Manage cloud and on-prem infrastructure as code in Terraform and Ansible
• Architect CI/CD pipelines that deploy new model versions and service updates
• Mentor and raise the technical bar for SRE and platform engineers

Required qualifications

• B.S. in Computer Science, Computer Engineering, or related field, or equivalent practical experience
• 10+ years of experience across Site Reliability Engineering and Platform Engineering roles supporting large-scale, customer-facing services in public cloud environments (AWS, GCP, Azure)
• Proven track record of technical leadership, including owning the architecture and reliability of production systems and mentoring other engineers
• Strong programming and scripting skills in Python, Go, or Java
• Production experience with Docker and Kubernetes
• Deep understanding of monitoring and observability tooling such as Prometheus, Grafana, Datadog, or the ELK Stack
• Experience with infrastructure as code using Terraform or CloudFormatio
• Experience with CI/CD tooling such as Jenkins, GitHub Actions, or ArgoCD
• Strong Linux system administration fundamentals

Nice to have

• Experience in a hybrid environment spanning cloud and on-premise data center infrastructure
• Experience supporting ML or AI inferencing services in production
• Familiarity with GPU-accelerated computing and optimizing workloads for NVIDIA GPUs
• Knowledge of model serving frameworks such as vLLM, SGLang, or Ray
• Experience managing and tuning databases (SQL or NoSQL) and caching systems such as Redis or Memcached

Benefits

• Base salary plus equity
• 95% premium coverage for employee medical insurance
• 77% premium coverage for dependents
• Health Savings Account (HSA) with employer contribution
• Dental, Vision, Short/ long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
• Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care
• Headspace subscription
• Gympass+ membership
• One Medical membership
• Counseling services with an Employee Assistance Program

Before you apply

• You must submit an application form for each position for which you believe you are qualified

About the company

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. Its technology is centered on the RDU (Reconfigurable Dataflow Unit).