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Browse remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.
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Posted 2 months ago
Applications closedAevix Cloud
Remote
Los Angeles, United States (UTC-8)
PyTorch, Kubernetes, and a fleet of inference endpoints serving billions of requests a month are the core of what we build. If you've ever obsessed ov...
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Posted 2 months ago
Applications closedCeltrix AI
Remote
Denver, United States (UTC-7)
Every firmware rollout to our wearable fleet risks bricking devices that are already on people's wrists. We're looking for someone to build the valida...
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Posted 2 months ago
Applications closedKolvex Cloud
Remote
Los Angeles, United States (UTC-8)
We just closed a new funding round earmarked specifically for cutting our customers' cloud waste, and container overprovisioning is the single biggest...
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Posted 2 months ago
Applications closedJoltura Labs
Remote
Chicago, United States (UTC-6)
Our model snapshot tests take longer to run than the training jobs they're supposed to catch bugs in. We're looking for someone who can rebuild the sn...
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Posted 2 months ago
Applications closedGravex Cloud
Remote
Los Angeles, United States (UTC-8)
As a fully async team spread across nine time zones, we believe great engineers don't need constant check-ins to do great work. Our model registry has...
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Posted 2 months ago
Applications closedXivio Solutions
Remote
Seoul, South Korea (UTC+9)
GPU cluster provisioning at our scale still involves a platform engineer manually approving capacity requests through a Slack thread. That workflow br...
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Posted 2 months ago
Applications closedAevix Cloud
Remote
Los Angeles, United States (UTC-8)
Our inference fleet spans three cloud providers, and switching a model between them still takes an engineer half a day of manual configuration work. T...
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Posted 2 months ago
Applications closedNolvex Studio
Remote
Amsterdam, Netherlands (UTC+1)
Figma, our internal component library, and our design QA checklist are the core of what our design systems team runs on. If you've ever wanted to auto...
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Posted 2 months ago
Applications closedLontex Tech
Remote
Stockholm, Sweden (UTC+1)
PyTorch is nowhere near as central to what we build as our multi-agent orchestration layer is. If you've spent time chaining LLM agents together and w...
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Posted 2 months ago
Applications closedJoltura Labs
Remote
Kolkata, India (UTC+5:30)
Our test suite for model releases still takes a human two full days to run and interpret manually before every deployment. That gap is exactly what th...
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Role guide
Docker is the foundation of modern AI deployment infrastructure. Remote Docker jobs at AI companies involve containerising ML models, building reproducible training environments, and managing deployment pipelines. Engineers with Docker experience who also understand ML workflows are particularly in demand.
What Docker skills do AI companies typically require?
Multi-stage builds, GPU container configuration, Docker Compose for local development, and integration with CI/CD pipelines. MLOps-focused roles often require Kubernetes knowledge on top of Docker.
Can I get a remote Docker job without Kubernetes experience?
Yes — especially at smaller companies or for roles focused on development environments rather than production orchestration. As companies scale, Kubernetes becomes increasingly expected.
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