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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 week ago
Sourcegraph
Remote
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Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to underst...
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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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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 2 weeks ago
ClickHouse
Europe or US
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The Control Plane Platform team is building the shared foundation that every product in ClickHouse Cloud is built and shipped on. We give ClickHouse e...
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Posted 2 weeks ago
Vannevar Labs
Remote; Washington, District of Columbia, United States
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Vannevar builds AI systems for the Department of War's most consequential missions. We have 125 deployments across every branch and combatant command...
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At Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - t...
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Posted 2 weeks ago
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 2 weeks ago
Snowflake
IE-Dublin-WW
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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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Posted 3 weeks ago
Cerebras
Sunnyvale, CA
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 3 weeks ago
ClickHouse
New York
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Your work will have an outsized impact. Langfuse ingests terabytes of AI tracing data per day. When a Fortune 50 company instruments their application...
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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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