Remote positions
Browse remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.
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Posted 3 months ago
Applications closedDaeva Tech
On-site
Chicago, United States (UTC-6)
Vibration sensors, thermal cameras, and spindle load data feed into everything we build at Daeva Tech. If you're comfortable fusing multiple sensor st...
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Posted 3 months ago
Applications closedLumio Systems
Remote
Los Angeles, United States (UTC-8)
The autoscaling decisions you'll make will directly control GPU spend for over 40 enterprise clients running models on our deployment platform. Right...
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Posted 3 months ago
Applications closedArca Works
Remote
New York, United States (UTC-5)
Every new vendor our enterprise clients bring on triggers a lengthy third-party risk questionnaire, and today someone on the compliance team manually...
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Posted 3 months ago
Applications closedCovex Cloud
Remote
Los Angeles, United States (UTC-8)
PyTorch models, Kubernetes clusters, and a serverless inference layer are what our platform runs on today, but edge deployments are where our biggest...
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Posted 3 months ago
Applications closedRavio Tech
Remote
New York, United States (UTC-5)
Our QA platform already generates synthetic test data and tracks test coverage, but flaky tests still waste hours of engineering time every week acros...
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Posted 3 months ago
Applications closedYalvex AI
Remote
New York, United States (UTC-5)
Have you ever watched a feature rollout go sideways because nobody caught the early warning signs in time? Our deployment platform already handles con...
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Posted 3 months ago
Applications closedGravex Cloud
Hybrid
Chicago, United States (UTC-6)
We serve ML teams at companies running hundreds of experiments in parallel, and right now the only cost visibility they get is a single lump AWS bill...
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Posted 3 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
We're building the compliance layer that lets biotech teams file with the FDA and EMA without weeks of manual paperwork. Our platform already processe...
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Posted 3 months ago
Applications closedPrixel Labs
Remote
Denver, United States (UTC-7)
Depth estimation and point cloud models are the core of what we build, and all of them assume the cameras feeding them stay perfectly calibrated — an...
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Posted 3 months ago
Applications closedUlara AI
Remote
London, United Kingdom (UTC+0)
As a fully async team spread across 9 time zones, we believe great engineers can work from anywhere as long as the work speaks for itself. Our voice c...
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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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