Senior Mk8S Control Plane Engineer for AI Kubernetes

Lambda

United States

On-site

USD 180,000 - 250,000

Full time

5 days ago
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Benefits offered by this job

Health, dental, vision
401(k) match
Paid holidays and flexible PTO
Parental, medical, and caregiver leave

Job summary

Lambda is seeking a Senior Software Engineer to join the Managed Kubernetes (Mk8s) team. Build the control plane, operators, and automation for a GPU‑accelerated Kubernetes platform powering AI workloads globally.

Work across compute, network, storage, and security to create reliable, scalable orchestration services and production-grade tooling. You will shape architecture and reliability for the Kubernetes-based infrastructure, collaborating with NVIDIA’s ecosystem and internal teams to deliver

Qualifications

  • 6+ years of software engineering experience
  • Experience building and operating managed Kubernetes services
  • Strong knowledge of Kubernetes internal components (controllers, schedulers, operators)
  • Experience with GPU scheduling and HPC workloads on Kubernetes
  • Experience with cloud infrastructure and automation tooling

Responsibilities

  • Design, build, and maintain scalable control plane services and operators for Kubernetes-based platforms
  • Develop automation in Go/Python for end-to-end cluster lifecycle management
  • Build GPU-aware orchestration systems and support for AI workloads
  • Collaborate with internal teams on networking, storage, and security integration
  • Participate in on-call rotation and incident response

Skills

Go
Python
Kubernetes
Distributed systems
Linux
Networking
CNI
CRDs
Operators
Prometheus
Grafana
NVIDIA GPU Operator

Tools

Prometheus
Grafana
NVIDIA GPU Operator

Job description

Lambda is seeking a Senior Software Engineer to join the Managed Kubernetes (Mk8s) team. Build the control plane, operators, and automation for a GPU‑accelerated Kubernetes platform powering AI workloads globally.

Work across compute, network, storage, and security to create reliable, scalable orchestration services and production-grade tooling. You will shape architecture and reliability for the Kubernetes-based infrastructure, collaborating with NVIDIA’s ecosystem and internal teams to deliver

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