Data & AI Automation Engineer (Google Cloud) in ANVI

This is a data role at its core. If most of your experience is in web/backend development or on AWS/Azure, this position is probably not the right fit.

Your day-to-day

- Design data flows in BigQuery: loading data incrementally, setting up scheduled queries and data transfers

- Ship small services and jobs on Cloud Run and Cloud Functions, triggered by Cloud Scheduler

- Keep access and credentials in order across many GCP projects with IAM and Secret Manager, and watch everything in Cloud Monitoring

- Connect external tools and data sources through APIs, webhooks and SFTP

- Add AI to the workflows: call OpenAI, DeepSeek or Perplexity APIs and write the prompts that make the output reliable

- Write clean Python, version it in Git, and package it with Docker

You'll fit if you have

- 2+ years of hands-on, commercial experience with BigQuery and GCP services

- Shipped at least one production workflow that uses an LLM API

- Built integrations with REST APIs, webhooks and SFTP

- Confidence working independently across multiple projects at once

- Fluent English: you'll talk to US stakeholders directly

- Availability for full-time work during US Pacific (PST) business hours

- Examples of your work you can share: GitHub, case studies or detailed project write-ups

Bonus points

- Terraform, n8n, Supabase/Postgres, Clay or Google Meridian

- Background in marketing tech or lead scoring

- A habit of keeping cloud and LLM bills low

What you get

- Long-term, full-time remote engagement

- Direct work with a US client

- [Rate / compensation]

- [Contract type]

To apply

Begin your message with "Cloud Run" and describe, in 2–3 sentences, one GCP workflow you built from scratch. Applications without this will not be reviewed.