Senior GCP Data Engineer & AI Platform Lead

Infinite Computer Solutions; Texas; On-site; USD 150,000 - 210,000; Full time

Job summary

Infinite Computer Solutions seeks a Senior Google Cloud Engineer to design, build, and manage enterprise‑grade data platforms on Google Cloud Platform (GCP). You will architect scalable solutions using BigQuery, Dataflow, Cloud Composer, Pub/Sub and Cloud Functions, and drive AI‑driven workflows.

In this role you’ll own end‑to‑end ETL/ELT pipelines, containerize applications with Docker, implement CI/CD via Terraform, GitHub Actions, and Cloud Build, and build GenAI applications with Vertex AI

Qualifications

• 4–8 years of cloud engineering experience
• Hands-on experience with Google Cloud Platform services
• Experience with CI/CD automation and AI workflows

Responsibilities

• Architect and build scalable data platforms on GCP.
• Design end‑to‑end ETL/ELT pipelines for batch and real‑time data.
• Build and maintain CI/CD pipelines using Terraform, GitHub Actions, and Cloud Build.
• Containerize and deploy applications using Docker, Cloud Build, and Cloud Run.
• Design and build AI agents using ADK to automate complex workflows.
• Build GenAI-powered apps leveraging Vertex AI, Gemini, and Model Garden.
• Implement RAG pipelines using vector databases and embeddings.
• Drive FinOps initiatives and monitor cloud spend.
• Set up Cloud Monitoring, logging, and alerting for observability across GCP services.

Skills

GCP Expertise

CI/CD Automation

AI/GenAI

ETL/ELT Development

Cloud Monitoring

Cost Governance

Containerization

Tools

BigQuery

Dataflow

Cloud Composer

Pub/Sub

Cloud Functions

Terraform

GitHub Actions

Cloud Build

Docker

Cloud Run

ADK

Vertex AI

Gemini

Model Garden

Job description

Infinite Computer Solutions seeks a Senior Google Cloud Engineer to design, build, and manage enterprise‑grade data platforms on Google Cloud Platform (GCP). You will architect scalable solutions using BigQuery, Dataflow, Cloud Composer, Pub/Sub and Cloud Functions, and drive AI‑driven workflows.

In this role you’ll own end‑to‑end ETL/ELT pipelines, containerize applications with Docker, implement CI/CD via Terraform, GitHub Actions, and Cloud Build, and build GenAI applications with Vertex AI