(Internal position) Principal Cloud Engineer

Description

Summary: Seeking a passionate Principal Cloud Engineer to design, evolve, and scale secure, resilient, and production-ready cloud-native and AI-driven platforms. Highlights: 1. Own architecture decisions for cloud platforms 2. Work with cutting-edge projects and latest tech 3. Full ownership of projects in Agile, multidisciplinary teams **We’re Growing Our Cloud Dream Team!** As part of our international Cloud/DevOps squad, you’ll craft tailor\-made solutions that wow our clients. We’re hunting for a passionate Principal Cloud Engineer with a solid technical background. Your mission is not just to build infrastructure — but to **design, evolve and scale cloud\-native and AI\-driven platforms** that are secure, resilient, and production\-ready. This role is for engineers who enjoy **owning architecture decisions**, working close to product and AI teams, and pushing cloud platforms to the next level. Here’s the deal: * You'll tackle the unique challenges of cloud infrastructure, working alongside a team of brilliant minds to build scalable and reliable solutions. * You’ll dive into cutting\-edge projects using the latest tech to push boundaries and make an impact. * Whether you prefer working from home or vibing with us at our offices, the choice is yours. * AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check. **You will be responsible for:** * **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** **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