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# Google Cloud Platform Architect - Remote Work

- **Company:** BairesDev
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Computing Platforms, Acceptance Test-Driven Development, BigQuery, Cloud Engineering, COBOL (Programming Language), Data Architecture, Mainframes, Google Cloud, Data Pipelines, Legacy Systems
- **Published:** August 4, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=f2bce529bc2aaa92

## About the Role

* 8+ years of experience in cloud architecture with GCP.
 * Proven experience in application modernization, re-architecting legacy or mainframe-class systems into Java, Go, or .NET on modern cloud platforms.
 * Strong background in data architecture on GCP including BigQuery and data pipeline design.
 * Consulting or professional services background with project-based, client-facing delivery experience.
 * Experience with AI engineering practices such as harness engineering or spec-driven design.
 * Strong requirements gathering skills.
 * Experience with test-driven design.
 * Advanced proficiency in English.

Nice to have:

 * Mainframe or COBOL domain familiarity.
 * Experience with DORA metrics.
 * QA discipline and practices.

## Description

In this role, you'll support an AI-driven mainframe modernization practice, where legacy COBOL systems are converted into specs and regenerated in Java, Go, or .NET on GCP. Beyond deep platform architecture skills, you'll bring the business-level understanding of why mainframe systems are critical, pairing technical expertise with stakeholder-level communication in a client-facing consulting environment. This is your opportunity to work at the intersection of legacy modernization and modern cloud architecture.

What You'll Do:

 * Architect and lead application modernization initiatives, re-architecting legacy and mainframe-class systems into modern cloud platforms.
 * Design data architecture solutions on GCP, including BigQuery and analytics pipelines.
 * Communicate with client stakeholders to understand and articulate the business criticality of legacy systems being modernized.
 * Collaborate with distributed engineering teams within a fully GCP-based environment.


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