Build and maintain platform infrastructure and data pipelines on GCP to support AI-driven mainframe modernization. Ensure system reliability and scalability for applications regenerated in Java, Go, or .NET. Requires 5+ years of platform engineering experience with GCP and BigQuery.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Platform Engineer (GCP) at BairesDev
In this role, you'll build and maintain the platform foundations that support an AI-driven mainframe modernization practice, ensuring that systems regenerated in Java, Go, or .NET on GCP run reliably at scale. Working alongside architects and engineers within project pods, you'll focus on the infrastructure and data platform layers that make modernization efforts sustainable long-term. This is your opportunity to apply platform engineering discipline to a complex modernization challenge, working in a fully GCP-based environment with global engineering teams.
What You'll Do
- Build and maintain platform infrastructure supporting application modernization efforts 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.
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- 5+ years of experience in platform engineering with GCP.
- Experience supporting application modernization, contributing to 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.
- Mainframe or COBOL domain familiarity.
- Experience with DORA metrics.
- QA discipline and practices.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
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