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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
Member of Technical Staff, Agentic Release Engineer
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
Principal Software Engineer
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading uni...
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Posted 4 days ago
Member of Technical Staff, Infrastructure Engineer
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
シニア テクニカルサポートエンジニア — 日本（リモート、東京への出張あり）
日本語訳募集地域について本ポジションは日本での採用です。オフィス勤務ではないため、日本国内であればお住まいの地域は問いません。渋谷(東京)にオフィスがあ...
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Posted 4 days ago
Data Engineer
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 Software Engineer, Platform
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading uni...
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Posted 4 days ago
Staff Software Engineer, Snowpark Container Service
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 4 days ago
Member of Technical Staff, Backend
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
Growth Engineer
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
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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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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