Cloud Data Infra Engineer (GCP, ETL, AI)

Google Inc.; Fremont (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Inc. in Fremont, CA is seeking a Share Software Engineer, IT Infrastructure to drive database solutions on Google Cloud Platform, including design, development, and maintenance of data pipelines.

The role focuses on ETL development, managing databases like Cloud SQL/Spanner, and applying AI/ML techniques to improve productivity, with Terraform automation and strong collaboration across engineering teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in creating and managing managed databases on Google Cloud Platform (GCP) like Cloud SQL, AlloyDB, Cloud Spanner, and Cloud Bigtable.
• 5 years of experience in developing ETL software solutions using C, C++, software frameworks, and Python.
• 5 years of experience developing automation using Terraform.
• 5 years of experience in developing analytical reports and dashboards.

Responsibilities

• Own the strategy, scoping, and technical outcomes of database solutions in GCP.
• Lead end-to-end lifecycle - from initial requirement gathering and architectural design to development, testing, and long-term maintenance of database solutions for hardware products.
• Architect streamlined structures across various database systems on Google’s GCP environment.
• Navigate challenges and apply AI/ML methods to solve problems and improve productivity, including live data analytics and Terraform automation.
• Collaborate with cross-functional teams to understand business and application needs.

Skills

ETL development

C

C++

Python

Terraform

Data analytics

Education

Bachelor's degree

Master's degree

PhD

Tools

Cloud SQL

AlloyDB

Cloud Spanner

Cloud Bigtable

Google Cloud Platform (GCP)

Gemini

Docker

Job description

Google Inc. in Fremont, CA is seeking a Share Software Engineer, IT Infrastructure to drive database solutions on Google Cloud Platform, including design, development, and maintenance of data pipelines.

The role focuses on ETL development, managing databases like Cloud SQL/Spanner, and applying AI/ML techniques to improve productivity, with Terraform automation and strong collaboration across engineering teams.