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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 closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
Our training clusters run thousands of jobs a day, and when one fails, someone needs to figure out why fast. That someone is you. You'll be the first...
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Posted 2 months ago
Applications closedEmrex AI
Remote
Los Angeles, United States (UTC-8)
Our mission is to make large language models cheap enough to run at massive scale without sacrificing quality. This role sits right at that tension. Y...
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Posted 2 months ago
Applications closedSynta Cloud
Remote
Chicago, United States (UTC-6)
Docker, Kubernetes, and MLflow are the core of what we build here to keep predictive maintenance models running on factory floors without a dedicated...
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Posted 2 months ago
Applications closedNavio Tech
Remote
New York, United States (UTC-5)
Our data pipelines are growing faster than our documentation team, and manual doc updates are already falling behind. We're looking for someone to clo...
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Posted 2 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
You'll be the third release engineer on a team of twelve, working directly with the platform and applied ML teams to ship model updates safely at scal...
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Posted 2 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
We're building the next generation of AI-powered drug discovery infrastructure, and the model-serving layer our research teams depend on needs a dedic...
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Posted 2 months ago
Applications closedDaeva Tech
Remote
Chicago, United States (UTC-6)
Our factory-floor cameras generate more inspection data than our current models can turn into decisions. We're looking for someone who can close that...
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Posted 3 months ago
Applications closedLumio Systems
Remote
Los Angeles, United States (UTC-8)
As a fully async team spread across 9 time zones, we believe great engineers can build reliable systems without ever sharing an office. Our team ships...
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Posted 3 months ago
Applications closedOntix Intelligence
On-site
Detroit (UTC-5)
We serve automotive paint shops that need gloss and orange-peel defects caught before a vehicle leaves the line. Fast-moving team. Big problem. We nee...
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Posted 3 months ago
Applications closedCovex Cloud
Hybrid
Los Angeles, United States (UTC-8)
Docker, Kubernetes and serverless inference are the core of what we build for teams running unpredictable AI workloads. Cold starts are our biggest so...
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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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