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Текст:
Hirify AI/Оригинал
TL;DR
GCP Infrastructure Engineer (GCP/Cloud Infrastructure): Designing and deploying scalable, secure cloud infrastructures for Artificial Intelligence and Data Technologies with an accent on Infrastructure-as-Code, container orchestration, and GCP security. Focus on automating infrastructure delivery with Terraform, GitOps, and CI/CD, while optimizing observability, reliability, and cloud expenditure.
Location: Hybrid from an office in Milan, Florence, or Verona, Italy; a 100% remote option is also available.
Salary: €28,000–€34,000 per year.
Company
hirify.global delivers Big Data, Business Intelligence, Analytics, and Artificial Intelligence solutions for clients undergoing digital transformation, using strategic alliances with Microsoft, Google, and AWS.
What you will do
Design and deploy scalable, secure, and efficient cloud infrastructures, primarily on GCP and progressively across AWS and Azure.
Develop Infrastructure-as-Code scripts and templates with Terraform, Deployment Manager, or AWS CloudFormation, and automate provisioning with Ansible.
Evaluate and optimize cloud architectures for performance, cost, reliability, and business alignment.
Implement GitOps processes and CI/CD pipelines for infrastructure deployment and management.
Write Python or Bash scripts to automate repetitive infrastructure tasks.
Track cloud developments and apply current cloud-service best practices.
Requirements
Degree in Computer Engineering, Telecommunications, or equivalent training; alternatively, higher vocational training in Systems Administration or Application Development.
More than 2 years of experience managing GCP infrastructure and developing in Python; AWS and/or Azure experience is welcome as an additional skill.
Experience with Infrastructure-as-Code using Terraform or Deployment Manager, and with CI/CD for deploying and maintaining pipelines and data platforms.
Experience with Docker containerization and Kubernetes orchestration for scalable and resilient data infrastructures.
Expertise in Google Cloud IAM, RBAC, and Secret Manager, including Zero Trust principles and data compliance.
Experience with Google Artifact Registry.
Experience configuring Google Cloud Monitoring, Cloud Logging, and Error Reporting for performance tracking, alerting, and cloud-cost optimization.
Ability to communicate in English for work in global environments and collaboration with international teams.
Nice to have
Consulting mindset, customer focus, problem-solving ability, and comfort working in dynamic environments.
Programming experience for data integration and knowledge of relevant frameworks and tools.
Culture & Benefits
Stable full-time position in a growing Data Technologies team with opportunities to progress toward architect, tech lead, technology expert, or specialist roles.
Hybrid or 100% remote work model, with financial support for teleworking.
Supplementary health insurance, meal vouchers, corporate welfare, and a performance bonus tied to measurable results.
Training, official certifications, conferences, and courses.
Collaborative, inclusive environment focused on technology, innovation, and professional development.
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