Remote positions
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
Top matching AI roles
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
We're building the next generation of AI-powered drug discovery infrastructure, and the model-serving layer our research teams depend on needs a dedic...
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As a fully async team spread across 9 time zones, we believe great engineers can build reliable systems without ever sharing an office. Our team ships...
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Docker, Kubernetes and serverless inference are the core of what we build for teams running unpredictable AI workloads. Cold starts are our biggest so...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
The scheduler you'll help build decides which of dozens of enterprise customers' training jobs get GPU time first, and a badly tuned fairness policy d...
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We just closed our Series A and are scaling fast — customer model traffic has grown 6x in the last two quarters and our single-region deployment setup...
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We just closed our Series B and engineering teams using our platform are shipping faster than ever — which means riskier pull requests are slipping th...
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As a fully async team spread across nine time zones, we believe great engineers can do their best work from anywhere. Our deployment pipeline has grow...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
We just closed our Series B and are scaling fast. We need a senior infrastructure engineer to solve one of our most persistent customer complaints: co...
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Docker, Kubernetes and serverless inference are the core of what we build for teams running unpredictable AI workloads. Cold starts are our biggest so...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
The scheduler you'll help build decides which of dozens of enterprise customers' training jobs get GPU time first, and a badly tuned fairness policy d...
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.
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