Senior Cloud Platform Engineer - GPU Infra, Hybrid

Neura Market; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Wellness stipend

Commuter stipend

401k with company match

Job summary

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. As a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build control-plane systems powering the GPU cloud, including APIs, workflows, and orchestration.

This role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working near the hardware/software boundary.

Qualifications

• 6+ years of professional software engineering experience building production backend or distributed systems.
• Strong in Python or Go and related backend languages.
• Experience designing and operating APIs, workflow engines, schedulers, orchestration services.
• Familiarity with cloud infrastructure primitives like compute, networking, storage.

Responsibilities

• Build and operate core cloud platform services for compute lifecycle and bare metal hosts.
• Design reliable APIs, backend services, state machines, and orchestration systems.
• Work on bare metal lifecycle: launch, terminate, host reclaim, validation.
• Improve deployment, observability, testing, alerting, and runbooks.
• Debug production issues across distributed services and networks.
• Collaborate with infrastructure, security, support, and product teams to deliver end-to-end capabilities.
• Contribute to architecture, design reviews, and mentoring across the team.

Skills

Distributed systems

Backend engineering

Python

Go

APIs design

Cloud infrastructure

On-call experience

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. As a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build control-plane systems powering the GPU cloud, including APIs, workflows, and orchestration.

This role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working near the hardware/software boundary.