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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 3 weeks ago
Incident Response Engineer
Snowflake
US-CA-Bay Area-Remote
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI age...
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Posted 3 weeks ago
Software Engineer Intern - Summer 2027
Skydio
San Mateo, California, United States
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Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The...
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Posted 3 weeks ago
Principal Engineer Team Lead, Simulation Infrastructure
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
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Motional is at the forefront of the driverless revolution. An autonomous driving company backed by Hyundai Motor Group, we are making autonomous vehic...
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Posted 3 weeks ago
AI Security Engineer Co-Op Intern, Winter 2027
Brain Co.
San Francisco Bay Area
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Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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Posted 3 weeks ago
AI Platform Engineer Co-Op Intern, Winter 2027
Brain Co.
San Francisco Bay Area
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Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we us...
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Join us in putting the world’s compute behind the people building what comes next. At Hyperbolic, we’re making global AI compute liquid. We bring frag...
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Posted 3 weeks ago
Member of Technical Staff - GPU Infrastructure
Prime Intellect
San Francisco
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Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious...
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At Zowie, we’re revolutionizing how businesses interact with their customers. We’re creating a future where AI Agents handle 100% of customer interact...
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Role guide
What to expect in remote Docker jobs
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 you'll work on
- Containerise ML models for reproducible, portable deployment
- Build multi-stage Docker images that keep model serving images lean
- Create development environments that match production exactly
- Orchestrate AI microservices across training and inference containers
What companies look for
- Multi-stage Dockerfile design for ML workloads
- Docker Compose for local development and testing environments
- Experience with GPU container configurations for model training
Frequently asked questions
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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