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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 2 months ago
Research Engineer, Post-Training (All Industry Levels)
About the role and teamJoining us as a Research Engineer on the Post-Training team, you'll be diving into the exciting world of fine-tuning AI models,...
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Posted 2 months ago
Machine Learning Infrastructure Engineer
About the roleWe’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastr...
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Posted 2 months ago
Research Engineer, AI Safety & Alignment
About the role and teamJoining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safe...
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Posted 2 months ago
Vulnerability Engineer
Who we are At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our...
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Posted 2 months ago
Forward Deployed Engineer, Life Sciences
Who we are At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our...
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Posted 2 months ago
Site Reliability Engineer, Platform Infrastructure (Foundations)
About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels....
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Posted 2 months ago
Staff Software Engineer, Platform Infrastructure (Foundations)
About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels....
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Posted 2 months ago
Software Engineer, Infrastructure
About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels....
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Posted 2 months ago
Deployed Engineer (Chicago)
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 2 months ago
Deployed Architect, Professional Services (Amsterdam)
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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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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