5 дней назад
GCP Platform Engineer (Google Cloud)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GCP Platform Engineer (Google Cloud): Building, maintaining, and supporting secure, automated, and scalable Google Cloud environments for clients with an accent on Infrastructure as Code, CI/CD automation, incident response, and platform observability. Focus on troubleshooting cloud-native platforms, managing Kubernetes and GKE environments, responding to incidents, and improving platform health through AI-assisted development practices.
Location: Bulgaria; work from the European Union region with a work permit required
Company
is a global AI-first digital transformation and engineering partner delivering cloud, data, AI, automation, and digital product solutions across 16 countries.
What you will do
- Build, maintain, and support secure, automated, and scalable Google Cloud environments for clients.
- Implement Infrastructure as Code using Terraform and maintain CI/CD pipelines.
- Support GCP services including Compute Engine, GKE, Cloud Storage, IAM, VPC, and Cloud Functions.
- Handle support questions, troubleshoot technical issues, and participate in incident response.
- Drive platform observability and health using Cloud Monitoring, Cloud Logging, Prometheus, or APM tools.
- Participate in weekly L1–L2 and standby/pager rotations.
Requirements
- Medior-level experience with core GCP services.
- At least 2 years of experience in IT, DevOps, or Cloud Engineering, preferably in an MSP, consulting, or enterprise environment.
- Solid understanding of Terraform fundamentals, including resources, variables, modules, state management, and the CLI.
- Experience with CI/CD tools, scripting in Bash, Python, or Go, Docker, and Kubernetes/GKE concepts.
- Practical experience using AI-powered developer assistants such as Claude Code, GitHub Copilot, Cursor, or Gemini Code Assist.
- Work from the European Union region and a valid work permit are required.
Nice to have
- Experience applying GenAI within the software development lifecycle through structured workflows, prompt patterns, or tool integrations.
- Interest in agent-based workflows, automation patterns, and AI-augmented development.
Culture & Benefits
- Work in a managed service provider practice supporting multiple client environments.
- Collaborate with a large engineering community and learn advanced cloud architecture patterns from senior team members.
- Operate in a team-first environment focused on communication, engineering excellence, growth, and knowledge sharing.
Hiring process
- CV review.
- HR call, interview, and client interview.
- Final decision.
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