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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 1 month ago
Langfuse - Senior Cloud Infra Engineer
ClickHouse
Germany
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Your work will keep Langfuse running — everywhere. Langfuse processes over a billion trace events per month. When a Fortune 50 company relies on Langf...
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Posted 1 month ago
Software Engineer, Developer Velocity
Hex
Remote - US
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Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics t...
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Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022...
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Posted 1 month ago
Member of Technical Staff, Cloud & Infrastructure Security
Fireworks AI
San Mateo
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Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows,...
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Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, St...
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Posted 1 month ago
Technical Support Engineer (L2)
Runpod
Remote - USA · also open in 1 other location
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Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod...
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Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022...
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Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod...
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Posted 1 month ago
Member of Technical Staff, Full Stack
Fireworks AI
San Mateo
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Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows,...
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Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod...
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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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