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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 closedHoltix Solutions
Remote
UTC (UTC+0)
We've already built solid extraction models for invoices and receipts. What's missing is the automation layer that routes extracted data into the righ...
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Posted 2 months ago
Applications closedGravex Cloud
Remote
Zurich, Switzerland (UTC+1)
We already have solid model registry and feature store infrastructure. What's missing is the automation that promotes a model from the registry into a...
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Posted 2 months ago
Applications closedKelvix Systems
Remote
London, United Kingdom (UTC+0)
Our satellite imagery models flag deforestation, flooding, and construction changes across millions of square kilometers every week. The problem is th...
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Posted 2 months ago
Applications closedRolvex Solutions
Remote
Singapore, Singapore (UTC+8)
We just closed a wave of new enterprise contracts and our manual model deployment process is starting to buckle under the volume. We need a hands-on e...
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Posted 2 months ago
Applications closedUlvex Systems
Remote
Sydney, Australia (UTC+11)
We're building the observability layer that on-call engineers actually want to use at 3am. Right now, too much of our incident triage still relies on...
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Posted 2 months ago
Applications closedXolvex Studio
Remote
Toronto, Canada (UTC-5)
As a fully async team spread across nine time zones producing live sports content, we believe great engineers ship automation that quietly removes bot...
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Posted 2 months ago
Applications closedMivex Cloud
Remote
UTC (UTC+0)
We just crossed 400 model endpoints running across our customers' Kubernetes clusters, and right now the only way we find out one is degrading is when...
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Posted 2 months ago
Applications closedDaeva Tech
Remote
Los Angeles, United States (UTC-8)
PyTorch, real-time computer vision, and Kubernetes-orchestrated inference are the backbone of what we run on factory floors across three continents. D...
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Posted 2 months ago
Applications closedUlvex Systems
Remote
Los Angeles, United States (UTC-8)
Spread across nine time zones and fully async, our team still expects reliable answers fast when cloud spend spikes unexpectedly. Our observability sp...
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Posted 2 months ago
Applications closedNolvex Studio
On-site
Los Angeles, United States (UTC-8)
Design tooling should be usable without a dedicated engineering team behind it — that's our mission, and FastAPI, Python, and Docker are the core of w...
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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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