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Remote CI/CD Jobs

Browse remote CI/CD positions — ML pipeline automation, DevOps for AI systems, and deployment engineering roles at AI-first companies.

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Remote worldwide
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MLOps Engineer DevOps for AI CI/CD Platform Engineer ML Automation Engineer Infrastructure Engineer

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Jobs & Projects

Snowflake
Full-time
English
$160K – $230K / year
Open job
Apify

Posted 2 weeks ago

Platform Reliability Engineer

Apify

Prague

Full-time
English
aws node.js claude ci/cd kubernetes +2 more
Open job
ElevenLabs

Posted 2 weeks ago

Safety Engineer (Backend Leaning)

ElevenLabs

United Kingdom

Full-time
English
Open job
Motional

Posted 2 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.

principal
Full-time
English
$200K – $275K / year
Open job
Brainco

Posted 2 weeks ago

AI Security Engineer Co-Op Intern, Winter 2027

Brainco

San Francisco Bay Area

intern
Full-time
English
Open job
Skydio

Posted 2 weeks ago

Senior Software Engineer, React Native

Skydio

San Mateo, California, United States

senior
Full-time
English
react ci/cd typescript
Open job
Brainco

Posted 2 weeks ago

AI Platform Engineer Co-Op Intern, Winter 2027

Brainco

San Francisco Bay Area

intern
Full-time
English
Open job
Databricks

Posted 3 weeks ago

Sr. Security Engineer, Enterprise Security

Databricks

Remote - California

senior
Full-time
English
$168K – $231K / year
Open job
Roboflow

Posted 3 weeks ago

Infrastructure Engineer

Roboflow

NY, SF or Remote

Full-time
English
Open job
Snowflake

Posted 3 weeks ago

Senior Software Engineer, Engineering Productivity

Snowflake

CH-Zurich-Observe

senior
Full-time
English
Open job

Role guide

What to expect in remote CI/CD jobs

CI/CD for AI is more complex than standard software — it requires validating not just code, but data, models, and system behaviour. Remote CI/CD jobs at AI companies involve building automated testing and deployment pipelines for ML systems, implementing model regression testing, and ensuring AI products ship reliably. Engineers who bridge DevOps and ML system knowledge are in consistent demand.

What you'll work on

  • Build automated ML testing pipelines that prevent broken models reaching production
  • Design deployment workflows that ship AI updates in minutes, not days
  • Implement shadow mode testing to safely validate new model versions on live traffic
  • Create infrastructure-as-code environments for reproducible AI development

What companies look for

  • CI/CD platform experience — GitHub Actions, GitLab CI, CircleCI, or Jenkins
  • ML-specific testing — data validation, model regression, integration testing
  • Blue/green and canary deployment strategies for safe ML model releases

Frequently asked questions

What remote CI/CD jobs are available at AI companies?

MLOps and DevOps engineering roles where CI/CD for ML systems is a core responsibility. Most require Docker and cloud platform experience (AWS, GCP, or Azure) alongside CI/CD pipeline knowledge.

What makes CI/CD for ML different from regular software CI/CD?

ML pipelines must validate data quality, model performance metrics, and integration behaviour — not just code correctness. Engineers design test suites that catch data drift, model degradation, and integration failures automatically.

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