Senior Principal Cloud Platform Engineer

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 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

As a Senior Principal Cloud Platform Engineer, you’ll set the technical direction for keeping our AI inferencing platform reliable, fast, and scalable. Your focus is uptime, latency, and resource

utilization on the inference endpoints customers depend on. The work spans monitoring, deployment, capacity planning, and incident response, and includes a shared on-call rotation providing 24/7 coverage. You’ll also serve as a technical leader for the Bengaluru team, mentoring engineers and shaping reliability and platform practices across regions.

Responsibilities

• Own the availability, latency, and efficiency of the production inferencing service,including change management, emergency response, and standing up AI infrastructure in new regions
• Define the reliability and platform engineering strategy for the service, including SLOs, error budgets, and multi-region architecture, and drive alignment with engineering, product, and operations stakeholders
• Build and maintain monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog covering service health, model latency and throughput, and RDU utilization
• Lead incident response for high-severity events, run blameless post-mortems, and drive systemic fixes and automation of the toil those incidents expose
• Find and fix performance bottlenecks, and design auto-scaling and capacity planning policies that handle variable inference load without overspending
• Manage cloud and on-prem infrastructure as code in Terraform and Ansible, and architect the CI/CD pipelines that deploy new model versions and service updates
• Mentor and raise the technical bar for SRE and platform engineers, through design reviews, on-call practices, and knowledge sharing

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

Preferred Qualifications

• 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, for purposes of mapping to RDUs
• 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

Base Salary Range:

Base Pay Range

₹8,900,000—₹10,800,000 INR

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.