Remote Platform Engineer - GCP & Data Pipelines

BairesDev

Bogotá

Remote

COP 294,918,000 - 425,992,000

Full time

14 days+

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Benefits offered by this job

Remote work
Competitive pay
Home office setup
Flexible hours
Parental leave
Global team
Career growth

Job summary

BairesDev is hiring a Platform Engineer (GCP) to build and maintain the platform foundations powering AI-driven modernization. You will work with global teams across Java, Go, or .NET on a fully GCP-based environment.

The role emphasizes data pipelines, BigQuery, reliability, and scalable infrastructure. Strong English and client-facing experience are required, with remote work from anywhere supported and competitive compensation in USD.

Qualifications

  • 5+ years of platform engineering with GCP.
  • Experience re-architecting legacy or mainframe-class systems into Java, Go, or .NET.
  • Data architecture on GCP including BigQuery and data pipelines.
  • Consulting or client-facing delivery experience.
  • 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 Engineering
Data architecture on GCP
Legacy modernization
Consulting / client-facing
AI engineering practices
Requirements gathering
Test-driven design
English proficiency

Tools

BigQuery
GCP data pipelines

Job description

BairesDev is hiring a Platform Engineer (GCP) to build and maintain the platform foundations powering AI-driven modernization. You will work with global teams across Java, Go, or .NET on a fully GCP-based environment.

The role emphasizes data pipelines, BigQuery, reliability, and scalable infrastructure. Strong English and client-facing experience are required, with remote work from anywhere supported and competitive compensation in USD.

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