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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 4 days ago
Head of Engineer, Product
About Pika At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamles...
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Posted 4 days ago
Senior Technical Customer Support Engineer - Japan
We are hiring for this role in Japan. Your exact location within the country does not matter as the role is not office-based, but we do have an office...
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Posted 4 days ago
Principal Software Engineer, Product
About PikaAt Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless...
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Posted 4 days ago
Member of Technical Staff, Forward Deployed
Vapi (/ˈVɑːpi/):Voice AI that resolves, not transfersPowering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York LifeT...
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Posted 4 days ago
Software Engineer, Fullstack
About HexHex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and an...
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Posted 5 days ago
Member of Technical Staff, AI Infrastructure Reliability
About Us:Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, w...
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Posted 5 days ago
テクニカルアカウントマネージャー アーキテクト - 日本
テクニカルアカウントマネージャー(「TAM」)アーキテクトは、サポートサービスチームおよびサポートグループのメンバーとして、地域のサポートエンジニアリング...
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Posted 5 days ago
Senior/Staff Software Engineer, Backend
About Pika At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamles...
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Posted 5 days ago
Senior Software Engineer - Capacity
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 5 days ago
Technical Account Manager Architect - Japan
The Technical Account Manager ("TAM") Architect role will be a member of our Support Services team and Support group, planned to report into our regio...
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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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