Remote positions
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
Top matching AI roles
AI Specialization
Job Type
Experience Level
Full-time roles and fixed-scope freelance missions — matched to your AI skills.
A 70B parameter model that fits in theory doesn't always fit in practice. GPU memory fragmentation, activation checkpointing decisions, optimizer stat...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Posted 3 months ago
United States — Los Angeles (UTC-7)
Speculative decoding is one of the most impactful LLM serving optimizations of the past two years: use a small draft model to generate candidate token...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Posted 4 months ago
United States — New York (UTC-4)
Failover for a stateless web service is a solved problem. Failover for an ML serving cluster is not. When a model serving region goes down, you need t...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Posted 4 months ago
United States — Los Angeles (UTC-7)
LLM inference latency is the core product metric for every API we serve. When a legal research tool waits 8 seconds for a response, lawyers switch tab...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
GPU memory fragmentation is the silent killer of training throughput. A cluster that should deliver 94% MFU sits at 71% because memory allocations fro...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Deploying AI models is not like deploying software. A model that passes all unit tests can still regress on edge-case inputs, behave differently acros...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
During a P1 incident, every minute of mean time to resolution costs real money. Our platform monitors 220 enterprise customers' production environment...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Canary deployments exist to catch problems before they affect 100% of traffic. The problem is that most canary analysis is manual: an engineer watches...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Posted 4 months ago
United States — Los Angeles (UTC-7)
Our platform runs 14,000 ML training jobs per month across a Kubernetes cluster shared by 38 product teams. Every job burns GPU hours that cost real m...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
When a client asks 'which GPU instance should I use for this model?' — we give them a data-driven answer instead of a guess. Our benchmarking platform...
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Role guide
Kubernetes is the standard infrastructure platform for production AI systems at scale. Remote Kubernetes jobs at AI companies involve GPU node pool management, MLOps platform engineering, and autoscaling model serving. These roles sit at the intersection of cloud infrastructure and ML systems.
What Kubernetes roles are available remotely in AI?
Primarily MLOps platform engineering, AI infrastructure, and model serving roles. These positions require strong Kubernetes fundamentals plus ML-specific tooling knowledge (Kubeflow, KServe, GPU scheduling).
Do remote Kubernetes AI jobs require cloud provider experience?
Almost always. EKS (AWS), GKE (Google Cloud), and AKS (Azure) are the most common managed Kubernetes platforms. Most job listings specify a primary cloud provider.
Related job categories
Browse other remote AI jobs
Are you a Kubernetes specialist? Get hired remotely.
Create my profile — it's free