Principal Cloud Engineer
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Job Description
Principal Cloud Engineer specializing in Microsoft Azure and AI-powered infrastructure design. Crafting secure, scalable solutions while collaborating with multidisciplinary teams in a remote environment.
Responsibilities:
- Design and lead cloud architectures on Azure, covering networking, security, governance, IaaS, PaaS and serverless solutions.
- Own the infrastructure of AI-powered platforms, including conversational AI systems with: Retrieval-Augmented Generation (RAG), Document ingestion, processing and vector search and Integration with LLM providers and AI services.
- Build and evolve CI/CD pipelines for both application and infrastructure, following DevSecOps best practices.
- Develop Infrastructure as Code (Terraform) with a strong focus on reusability, scalability and maintainability.
- Design and operate production-grade environments, ensuring: High availability and performance, monitoring, logging and observability and cost optimization and reliability.
- Collaborate closely with AI, data and software teams to productionize ML/LLM solutions (MLOps mindset). Actively propose improvements and new technical approaches, contributing to architectural decisions and technical roadmaps.
- Work in Agile, autonomous, multidisciplinary teams, with real ownership from design to production.
Requirements:
- Strong experience with Microsoft Azure in real production environments.
- 5+ years of hands-on experience in Cloud / DevOps / Platform Engineering roles.
- Proven experience designing and implementing IaaS, PaaS and cloud-native architectures.
- Solid knowledge of networking, security and governance models in cloud environments.
- Experience with Azure DevOps (Repos, Pipelines) and CI/CD practices.
- Strong background in Infrastructure as Code (Terraform).
- Experience monitoring and operating high-traffic, production web platforms.
- Familiarity with AI/ML or LLM-based platforms in production environments.
- Comfortable working with Agile methodologies, Jira and Confluence.
- Fluent English (mandatory) — you’ll work daily with international teams and clients.
- Very nice to have:
- Experience in hybrid and multi-cloud environments (AWS / GCP).
- Kubernetes and container orchestration knowledge.
- Experience with GitHub and GitHub Actions.
- 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.
Benefits:
- 1
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