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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 13 minutes ago
Senior Staff Software Engineer
Build AI contracting at enterprise scale. Ship it fast.Ironclad is building AI on one of the most consequential datasets in enterprise software: over...
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Posted 1 hour ago
Principal Engineer
Build AI contracting at enterprise scale. Ship it fast.Ironclad is building AI on one of the most consequential datasets in enterprise software: over...
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Posted 2 hours ago
Senior Technical Product Manager - AI Compute Platform
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 2 hours ago
Staff Application Security Engineer
Build AI contracting at enterprise scale. Ship it fast.Ironclad is building AI on one of the most consequential datasets in enterprise software: over...
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Posted 5 hours ago
AI Resident UK/EMEA
About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...
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Posted 5 hours ago
Senior Software Developer: Models Team (Token Factory)
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 6 hours ago
Senior Product Security Engineer
About our CompanyAt Hyperscience, we believe that behind every document is a meaningful human experience, whether that’s a family applying for their m...
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Posted 6 hours ago
Senior Site Reliability Engineer — Token Factory (Inference Platform)
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 7 hours ago
Devops Engineer, US
About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...
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Posted 7 hours ago
Senior AI R&D Engineer – Model Training (f/m/d)
Our MissionAleph Alpha is one of the few companies in Europe doing serious foundation model pre- and post-training. We're building models that have ge...
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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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