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# Senior Cloud Architect (GCP) - Application & Mainframe Modernization - Remote Work

- **Company:** BairesDev
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Acceptance Test-Driven Development, BigQuery, Cloud Computing, Cloud Engineering, COBOL (Programming Language), Data Architecture, Mainframes, Data Streaming, Build Management, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=bf4881f22423570f

## About the Role

* 10+ years of experience in cloud architecture with GCP.
 * Deep expertise 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 lead application modernization initiatives, re-architecting legacy and mainframe-class systems into modern cloud platforms as part of an AI-driven mainframe modernization practice. Where legacy COBOL systems are converted into specs and regenerated in Java, Go, or .NET on GCP, your senior architectural judgment ensures these transformations are sound, scalable, and business-aligned. This is your opportunity to lead high-stakes modernization engagements, pairing deep GCP platform expertise with the stakeholder-level communication needed to justify why these systems matter.

What You'll Do:

 * Design and build data architecture on GCP, including BigQuery and analytics pipelines.
 * Support application modernization initiatives by architecting data flows for re-platformed systems.
 * Define data pipelines and analytics build-outs that scale with modernization efforts.
 * Collaborate with client stakeholders and distributed engineering teams in a fully GCP-based environment.


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