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Browse remote Google Cloud Platform positions — Vertex AI engineering, BigQuery data analytics, and GCP ML infrastructure roles at AI companies.
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Posted 1 month ago
Security Engineer, Detection and Response
Notion
Dublin, Ireland · also open in 1 other location
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and...
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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, R...
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Posted 1 month ago
Staff Security Engineer, Incident Response
Databricks
Belgium; Finland; Remote - Denmark; Remote - France; Remote - Germany; Remote - Italy; Remote - Netherlands; Remote - Spain; Remote - Sweden; Remote - United Kingdom; Switzerland
Staff Security Engineer, Incident Response The Incident Response team's mission is to respond to security threats, incidents and investigations to pro...
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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, R...
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WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we'...
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WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we'...
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Role guide
What to expect in remote GCP jobs
Google Cloud Platform is increasingly the platform of choice for AI companies, particularly those using Vertex AI for ML pipelines and BigQuery for large-scale analytics. Remote GCP jobs involve designing ML infrastructure on Vertex AI, building BigQuery data warehouses, and integrating Google AI APIs. Engineers with GCP + ML experience are in consistent demand.
What you'll work on
- Deploy and manage ML models using Vertex AI endpoints and pipelines
- Build large-scale analytics and ML feature pipelines with BigQuery and Dataflow
- Design GCP-native AI product infrastructure using Cloud Run and Pub/Sub
- Integrate Google AI APIs (Vision, NLP, Translation) into product features
What companies look for
- Vertex AI — training jobs, model registry, pipelines, and prediction endpoints
- BigQuery optimisation — partitioning, clustering, materialised views
- GCP IAM, VPC, and infrastructure-as-code with Terraform or Deployment Manager
Frequently asked questions
What remote GCP jobs are available at AI companies?
Vertex AI engineers, BigQuery data engineers, and cloud ML infrastructure roles. Most require Python alongside GCP-specific service knowledge — Vertex AI, Cloud Storage, Pub/Sub, and Dataflow.
Is GCP or AWS more common for remote AI engineering jobs?
AWS has a larger total market share, but GCP is growing rapidly in AI specifically — largely because of Vertex AI and Google's AI tooling. Many companies use both.
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