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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 4 hours ago
Lead Technical Onboarding Engineer
Neo4j
Remote: India
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Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems....
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Posted 1 day ago
Application Software Engineer
Wayve
Tokyo, Japan · also open in 2 other locations
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Posted 1 day ago
Principal Application Software Engineer
Wayve
Tokyo, Japan
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Posted 1 day ago
Senior Platform Engineer, Cloud Infrastructure
Wayve
Tokyo, Japan
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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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 days ago
Software Engineer
Turing
Global - Remote; United States
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Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI lab...
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physicall...
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Posted 4 days ago
Senior Solutions Engineer, Observe
Snowflake
US-NY-New York · also open in 1 other location
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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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This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI is the decision-intelligence partner for the insurance...
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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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