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Principal Cloud Engineer
Plain Concepts · Spain
About The Role
Join our international team as a Principal Cloud Engineer, where you'll design, evolve, and scale cloud-native and AI-driven platforms. You'll tackle unique challenges in cloud infrastructure, work with cutting-edge technology, and have the flexibility to work remotely or in the office. Enjoy a competitive salary, flexible work hours, and a range of benefits including free medical and dental insurance, a training budget, and discounts on gym memberships.
- Concevoir, faire évoluer et mettre à l'échelle des plateformes cloud-native et pilotées par l'IA.
- Diriger les architectures cloud sur Azure, en couvrant le réseau, la sécurité, la gouvernance, IaaS, PaaS et les solutions sans serveur.
- Collaborer étroitement avec les équipes AI, données et logiciels pour industrialiser les solutions ML/LLM.
- Ability to engage with clients, understand their needs, and design technical proposals tailored to business goals
- Experience in technical presales, including demos, solutioning, and proposal writing
- Comfortable working with Agile methodologies, Jira and Confluence
- Experience with Azure DevOps (Repos, Pipelines) or similar and CI/CD practices
- Solid knowledge of networking, security and governance models in cloud environments
- Strong background in Infrastructure as Code (Terraform)
- Strong experience with Microsoft Azure in real production environments
- Capable of leading projects independently and mentoring other engineers
- Fluent English (mandatory) — you’ll work daily with international teams and clients
- Experience monitoring and operating high-traffic, production web platforms
- Proven experience designing and implementing IaaS, PaaS and cloud-native architectures
- 8+ years of hands-on experience in Cloud / Platform Engineering roles
- Familiarity with AI/ML or LLM-based platforms in production environments
- Experience in hybrid and multi-cloud environments (AWS / GCP)
- Experience with GitHub and GitHub Actions
- Kubernetes and container orchestration knowledge
- MLOps practices (model lifecycle, deployment, monitoring, retraining)
- Scripting skills (PowerShell, Bash, Python)
- Software development background (Python, Go, .NET or similar)
- Experience with observability tools (Azure Monitor, App Insights, Prometheus, Grafana, etc.)
- A proactive mindset: autonomy, technical leadership and continuous improvement
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