Senior Kubernetes Engineer — AI Cloud Orchestration

Socket.dev

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

9 days ago

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Benefits offered by this job

Health insurance
401k plan with company match
Flexible PTO

Job summary

Lambda in San Francisco leads the AI cloud infrastructure. We are seeking a Senior Software Engineer to shape architecture and automation for our Kubernetes-based platform powering AI workloads at scale.

You’ll contribute to Managed Kubernetes, Slurm on Kubernetes, and higher-level services, building reliable, scalable systems that integrate with NVIDIA tooling and cloud-native components. This role requires deep systems knowledge and a passion for end-to-end platform excellence.

Qualifications

  • 6+ years of software engineering with ownership of scope
  • Experience with Kubernetes control plane components and CNCF projects

Responsibilities

  • Design, build, and maintain scalable control plane services and operators; automate cluster lifecycle
  • Build GPU-aware orchestration systems and support GPU scheduling
  • Collaborate on networking solutions for AI workloads (CNI, InfiniBand, RDMA)
  • Write resilient systems with retries and degraded-mode operation at large scale
  • Develop platform services for inference and autoscaling
  • Create internal tools/CLIs for deploy and monitor of inference services
  • Support production issues via on-call rotation

Skills

Kubernetes internals
Go
Python
Distributed systems
Linux networking
On-call
CI/CD
Cloud infrastructure

Education

Bachelor's degree in CS/CE or related field

Tools

Prometheus
Grafana
NVIDIA GPU tooling

Job description

Lambda in San Francisco leads the AI cloud infrastructure. We are seeking a Senior Software Engineer to shape architecture and automation for our Kubernetes-based platform powering AI workloads at scale.

You’ll contribute to Managed Kubernetes, Slurm on Kubernetes, and higher-level services, building reliable, scalable systems that integrate with NVIDIA tooling and cloud-native components. This role requires deep systems knowledge and a passion for end-to-end platform excellence.

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