Senior Cloud Platform Engineer: Core GPU Infrastructure

Lambda; San Francisco (CA); Hybrid; USD 296,000 - 346,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Wellness stipend

401k with company match

Job summary

Lambda seeks a Senior Software Engineer for its Core Cloud Platform team in the San Francisco Bay Area. You will help turn physical GPU infrastructure into reliable, customer-facing cloud capacity through APIs, orchestration layers, schedulers, and operational surfaces for instance lifecycle and regional deployments.

You should have 6+ years of backend or distributed systems experience, strong Python/Go skills, and a track record designing scalable APIs and workflows.

Qualifications

• Bachelor's degree or equivalent working experience.

Responsibilities

• Build and operate core cloud platform services for compute lifecycle, bare metal hosts, capacity, placement, and maintenance workflows.
• Design reliable APIs, backend services, state machines, and orchestration systems that power Lambda’s GPU cloud.
• Work on bare metal lifecycle systems including launch, terminate, restart/reboot, host reclaim, validation, quarantine, and return-to-pool workflows.
• Improve deployment, observability, testing, alerting, runbooks, and operational readiness for business-critical control-plane services.
• Debug complex production issues across distributed services, infrastructure dependencies, networking, and cloud workflows.
• Partner with infrastructure, networking, fleet, security, support, and product teams to define cross-system contracts and deliver end-to-end cloud capabilities.
• Contribute to architecture, design docs, code reviews, incident follow-through, and mentoring across the team.

Skills

Python

Go

APIs

Distributed systems

Linux

Kubernetes

Backend development

Education

Bachelor's degree or equivalent

Tools

Cloud infrastructure

Job description

Lambda seeks a Senior Software Engineer for its Core Cloud Platform team in the San Francisco Bay Area. You will help turn physical GPU infrastructure into reliable, customer-facing cloud capacity through APIs, orchestration layers, schedulers, and operational surfaces for instance lifecycle and regional deployments.

You should have 6+ years of backend or distributed systems experience, strong Python/Go skills, and a track record designing scalable APIs and workflows.