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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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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked wi...
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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked wi...
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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked wi...
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Posted 5 days ago
Software engineer, generative AI
Writer
San Francisco, CA
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WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterp...
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Posted 5 days ago
Software engineer, connectors & MCP
Writer
San Francisco, CA
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WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterp...
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Posted 5 days ago
Software engineer, generative AI (UK)
Writer
London, UK
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WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterp...
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WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterp...
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Posted 5 days ago
Senior Site Reliability Engineer - (Canada-Remote)
ClickHouse
Canada
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We are committed to providing our customers with reliable and secure services so we are expanding our central Site Reliability Engineering team. You w...
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Posted 5 days ago
Senior Site Reliability Engineer - (US-Remote)
ClickHouse
United States
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We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering tea...
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WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterp...
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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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