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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
Software Engineer - GPU Networking & Distributed Systems
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 2 months ago
Post-Training Research Engineer
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 2 months ago
Member of Technical Staff (Software Engineer, Enterprise Knowledge Platform)
About the RoleThe Enterprise Knowledge Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team ow...
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Posted 2 months ago
Staff Application Security Engineer
About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built fo...
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Posted 2 months ago
Software Engineer - Voice AI (Inference Runtime)
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 2 months ago
Member of Engineering (Inference Infrastructure)
ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve t...
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Posted 2 months ago
Member of Technical Staff (AI Infrastructure Engineer)
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI...
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Posted 2 months ago
Senior ML Systems Engineer, Frameworks & Tooling
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 2 months ago
Engineering Manager, Cloud Platform
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 2 months ago
Senior Software Engineer, GPU Infrastructure (HPC)
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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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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