Remote Platform Engineer, GCP & Data Pipelines

BairesDev

United States

Remote

MXN 1,662,000 - 2,585,000

Full time

7 hours ago
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Benefits offered by this job

100% remote work
Competitive USD salary

Job summary

BairesDev is seeking a Platform Engineer (GCP) to build and maintain the platform foundations for our AI-driven modernization initiatives. You will work with architects and engineers across pods in a fully GCP-based environment, ensuring scalable foundations for modernization efforts.

The role emphasizes data pipelines with BigQuery, platform reliability, and collaboration with global teams. Strong English and 5+ years in GCP platform engineering are required; remote work with flexible schedules

Qualifications

  • 5+ years of experience in platform engineering with GCP.
  • Experience modernizing applications, re-architecting legacy or mainframe-class systems into Java, Go, or .NET.
  • Background in data architecture on GCP including BigQuery and data pipelines.
  • Exposure to consulting or professional services delivery in project-based, client-facing environments.
  • Familiarity with AI engineering practices such as harness engineering or spec-driven design.
  • Experience with requirements gathering.
  • Familiarity with test-driven design.
  • Advanced proficiency in English.

Responsibilities

  • Build and maintain platform infrastructure supporting application modernization on GCP.
  • Implement and manage data pipelines and analytics platforms using BigQuery.
  • Support engineering teams with platform reliability, scalability, and best practices.
  • Collaborate with distributed engineering teams within a fully GCP-based environment.

Skills

GCP platform
Platform modernization
Data architecture
AI engineering
Requirements gathering
Test-driven design
English fluency

Tools

BigQuery
GCP tooling

Job description

BairesDev is seeking a Platform Engineer (GCP) to build and maintain the platform foundations for our AI-driven modernization initiatives. You will work with architects and engineers across pods in a fully GCP-based environment, ensuring scalable foundations for modernization efforts.

The role emphasizes data pipelines with BigQuery, platform reliability, and collaboration with global teams. Strong English and 5+ years in GCP platform engineering are required; remote work with flexible schedules

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