Remote positions
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Posted 6 days ago
ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observabilit...
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Posted 6 days ago
We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Se...
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Posted 6 days ago
Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022...
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Posted 6 days ago
We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Se...
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Posted 6 days ago
The Technical Account Manager ("TAM") Architect role will be a member of our Support Services team and Support group, and is planned to report to our...
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Posted 6 days ago
About the TeamGovernance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. The GRC team provides security...
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Posted 6 days ago
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 6 days ago
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a bi...
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Posted 6 days ago
ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observabilit...
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Posted 6 days ago
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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Role guide
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 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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