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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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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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We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI age...
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Braintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patter...
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Posted 3 weeks ago
Staff Software Engineer, Platform Infrastructure
Astronomer
London · also open in 2 other locations
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading uni...
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Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading uni...
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At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitiv...
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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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At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitiv...
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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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At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitiv...
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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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