Cloud Engineer GCP, Talent Pool

Accountabilities Design, deploy, and maintain cloud infrastructure on Google Cloud Platform (GCP) for a variety of client projects.

Translate cloud architecture designs into clean, reusable, and maintainable Infrastructure as Code using Terraform.

Automate cloud operations to improve scalability, reliability, security, and operational efficiency.

Monitor, optimize, and troubleshoot cloud environments while implementing infrastructure best practices.

Collaborate closely with cloud architects, engineers, and project teams to deliver high-quality cloud solutions.

Contribute to infrastructure standardization, automation strategies, and continuous improvement initiatives.

Manage project deliverables independently while maintaining clear communication within distributed and asynchronous teams.

Requirements

Approximately 3 years of hands-on experience designing, deploying, and managing solutions on Google Cloud Platform (GCP).

Strong proficiency with Terraform and Infrastructure as Code (IaC) best practices.

Solid understanding of cloud infrastructure, automation, networking, security, and cloud operations.

Ability to work independently in remote, project-based environments while effectively managing priorities and deadlines.

Strong analytical and problem-solving skills with a proactive approach to resolving complex technical challenges.

Excellent communication and collaboration skills for working with distributed engineering teams.

Google Cloud Professional Cloud Architect certification, or progress toward obtaining it, is considered an advantage.

Experience with additional cloud platforms such as AWS or Azure is a plus.

Benefits

Fully remote position available across Europe.

Flexible, project-based B2B engagement with the freedom to choose assignments aligned with your expertise.

Priority access to upcoming Google Cloud Platform consulting projects.

Opportunity to work on enterprise-scale cloud infrastructure and digital transformation initiatives.

Ongoing professional development with support for cloud certifications and continuous learning.

AI-enabled engineering environment that encourages automation and productivity.

High level of autonomy combined with a collaborative engineering culture.

Exposure to modern cloud technologies and international client projects.

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