Senior Cloud Platform Engineer for GPU AI Workloads

Frontdoor Defense

San Francisco (CA)

Hybrid

USD 230,000 - 346,000

Full time

14 days+

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Benefits offered by this job

Health, dental, vision coverage
Wellness stipend
401k with company match

Job summary

Lambda, The Superintelligence Cloud, is seeking a Senior or Staff Software Engineer to design and operate distributed cloud services powering GPU-based AI workloads in our Cloud Services Engineering org. You will own full lifecycle from design to on-call, contribute to platform capabilities, and collaborate with product, infrastructure, and SRE teams to deliver reliable, scalable AI cloud services.

This role requires 7+ years of experience, deep Go/Python skills, and the ability to work in

Qualifications

  • 7+ years of professional software engineering experience.
  • Deep expertise in Go or Python and ability to reason about concurrency and testing.
  • Experience designing, building, and operating backend services and distributed systems at scale.
  • Strong understanding of system design, data models, APIs, and production reliability.
  • Proven track record delivering complex work end-to-end including testing and incident response.

Responsibilities

  • Design, build, and operate cloud services, APIs, control planes, and platform capabilities.
  • Solve distributed-systems problems involving state, concurrency, and failure recovery.
  • Own full engineering lifecycle from problem framing to rollout and monitoring.
  • Improve availability, latency, throughput, and security as the platform grows.
  • Mentor teammates and, at Staff level, lead cross-team architecture.

Skills

Distributed systems
Go/Python proficiency
Concurrency & testing
Cross-functional collaboration

Tools

Kubernetes
Cloud platforms
APIs & services

Job description

Lambda, The Superintelligence Cloud, is seeking a Senior or Staff Software Engineer to design and operate distributed cloud services powering GPU-based AI workloads in our Cloud Services Engineering org. You will own full lifecycle from design to on-call, contribute to platform capabilities, and collaborate with product, infrastructure, and SRE teams to deliver reliable, scalable AI cloud services.

This role requires 7+ years of experience, deep Go/Python skills, and the ability to work in

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