Senior Cloud Platform Engineer for AI GPU Infra

Lambda; San Jose (CA); On-site; USD 170,000 - 260,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Wellness and commuter stipends

401k Plan with company match

Flexible paid time off

Job summary

Lambda is seeking a Senior Software Engineer for its Core Cloud Platform in San Jose/San Francisco. You will build the control-plane systems powering Lambda’s GPU cloud, covering compute lifecycle, bare metal orchestration, maintenance actions, deployment readiness, reliability, and operational tooling.

You will work on APIs, workflows, state machines, and orchestration services, and collaborate with infrastructure, networking, security, and product teams to deliver end-to-end cloud

Qualifications

• Bachelor’s degree or equivalent working experience.
• 6+ years of professional software engineering experience building production backend or distributed systems.
• Strong in Python, Go, or a similar backend/system language.
• Experience designing and operating APIs, workflow engines, schedulers, orchestration services, or other distributed systems.
• Understand reliability fundamentals: fault tolerance, idempotency, retries, state machines, failure handling, and production debugging.
• Experience with cloud or cloud-like infrastructure primitives such as compute, networking, storage, capacity management, identity, or fleet operations.
• Comfortable with Linux, containers, Kubernetes, infra automation, and service deployment patterns.
• Have owned production services, participated in on-call, and improved systems based on operational learnings.
• Care about testability, CI/CD, observability, metrics, logging, alerting, and supportable operations.
• Can take ambiguous infrastructure problems and drive them to clear designs, implementation plans, and production outcomes.
• Communicate clearly across engineering, product, support, infrastructure teams, and leadership.

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

Distributed systems

Backend services

Education

Bachelor's degree or equivalent

Tools

Linux

Kubernetes

CI/CD

Job description

Lambda is seeking a Senior Software Engineer for its Core Cloud Platform in San Jose/San Francisco. You will build the control-plane systems powering Lambda’s GPU cloud, covering compute lifecycle, bare metal orchestration, maintenance actions, deployment readiness, reliability, and operational tooling.

You will work on APIs, workflows, state machines, and orchestration services, and collaborate with infrastructure, networking, security, and product teams to deliver end-to-end cloud