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Remote Kubernetes Jobs
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
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Posted 1 day ago
Senior Product Engineer II
Senior Product Engineer II Team: Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human da...
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Posted 1 day ago
Senior Product Engineer
Senior Software Engineer Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infras...
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Posted 1 day ago
Offensive Security Lead
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
Offensive Security Engineer
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
Engineering Manager
Engineering Manager Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastruct...
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Posted 1 day ago
Principal Engineer, Data & ML Infrastructure
Mission Summary: We are seeking a highly skilled and motivated Principal Engineer for our large-scale autonomous vehicle evaluation framework. The ide...
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Posted 1 day ago
Data Engineer
Data Engineer Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's resha...
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Posted 1 day ago
Key Customers Solutions Architect
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
Cloud Platform Engineer
Cloud Platform Engineer Team: Platform Prolific Prolific is not just another player in the AI space – we are the architects of the human data infras...
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Posted 1 day ago
IT Risks & Control Manager
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Role guide
What to expect in remote Kubernetes jobs
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 you'll work on
- Design Kubernetes clusters for distributed model training with GPU nodes
- Deploy AI models with autoscaling using KServe or Seldon
- Build the MLOps platform your data science team runs experiments on
- Manage resource quotas and scheduling for multi-team AI workloads
What companies look for
- GPU node pool configuration and scheduling experience
- Knowledge of Kubeflow, KServe, or Seldon for ML serving
- Helm chart development and GitOps deployment practices
Frequently asked questions
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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