Staff Kubernetes Engineer: AI GPU Orchestration Bare-Metal

Cloudjobs; San Jose (CA); On-site; USD 230,000 - 360,000; Full time

Benefits offered by this job

Cash compensation

Equity compensation

Health coverage

Dental coverage

Vision coverage

Wellness stipend

Commuter stipend

401k Plan with 2% company match

Flexible paid time off

Job summary

Cloudjobs in San Jose leads the technical vision and development of a managed Kubernetes platform tailored for AI workloads on bare metal. You will collaborate with infrastructure teams to design GPU-aware orchestration, scalable control planes, and high-performance networking to support demanding AI workloads.

The role requires 10+ years in software engineering with at least 5 years in Kubernetes at scale, with expert Go and Python skills and deep GPU orchestration, distributed systems, and

Qualifications

• Requires 10+ years of software engineering experience with at least 5 years focused on Kubernetes at scale.
• Expert-level proficiency in Go and Python.
• Deep expertise in GPU orchestration, distributed systems, and high-performance Linux networking.

Skills

Kubernetes

Go

Python

GPU Orchestration

Distributed Systems

Linux Networking

Bare Metal Infrastructure

NVIDIA GPU Operator

Cloud Native Engineering

Multi-tenancy

Infrastructure as Code

GitOps

Cilium

InfiniBand

RDMA

Prometheus

Tools

NVIDIA GPU Operator

Prometheus

Cilium

InfiniBand

RDMA

Job description

Cloudjobs in San Jose leads the technical vision and development of a managed Kubernetes platform tailored for AI workloads on bare metal. You will collaborate with infrastructure teams to design GPU-aware orchestration, scalable control planes, and high-performance networking to support demanding AI workloads.

The role requires 10+ years in software engineering with at least 5 years in Kubernetes at scale, with expert Go and Python skills and deep GPU orchestration, distributed systems, and