Azure Cloud Engineer (Infrastructure & Data Platform)

About Wemetrix At Wemetrix , we help enterprises turn financial uncertainty into measurable growth through VALUEBOARD® , our AI-driven credit risk platform. We’re a growing technology team in Greece, building a modern, data-powered financial ecosystem that brings together cloud engineering, data science, and AI . If you want to work on a meaningful product that blends real data, real impact, and real innovation , this is your opportunity. Join us to build the backbone of enterprise-grade AI platforms , scalable, secure, and future-ready. About the Role We are looking for an Azure Cloud Engineer who will help design, build, and scale the cloud infrastructure powering VALUEBOARD®. You’ll collaborate closely with data engineers, ML engineers, and product teams to deliver resilient, automated, and cost-efficient Azure environments. What You’ll Do Architect and deploy scalable Azure infrastructure to support data, AI, and analytics workloads. Build and maintain Infrastructure-as-Code templates using Terraform or Bicep for reproducible, secure environments. Implement and optimize CI/CD pipelines for data services, APIs, and ML model deployments. Operate and enhance Azure Databricks , Data Factory , AKS , and ADX/ClickHouse environments to ensure reliability and performance. Deploy and integrate observability and monitoring systems ( Prometheus, Grafana, Elastic Stack, Datadog, Azure Monitor , or similar) to ensure visibility and uptime. Monitor, troubleshoot, and improve infrastructure performance, security, and cost efficiency. Collaborate closely with data engineers and ML engineers to deliver reliable, automated pipelines and services. Ensure compliance, scalability, and resilience within a multi-tenant SaaS environment . Partner with product and engineering teams to deliver high-availability, production-ready cloud services. What You Bring 3–6 years of hands-on experience with Microsoft Azure or another major cloud provider. Proficiency with Terraform , Bicep , or other IaC frameworks. Solid experience in CI/CD practices and tools such as Azure DevOps or GitHub Actions . Familiarity with AKS , Databricks , ADF , or Synapse for data and ML workloads. Strong understanding of networking , security , identity , and RBAC in Azure and hybrid environments. Practical experience with monitoring and observability stacks , ideally combining open-source (Grafana, Prometheus, Elastic) and cloud-native (Datadog, Azure Monitor) tools. A proactive, problem-solving mindset, you automate, document, and continuously improve systems. A collaborative attitude with clear communication and ownership of outcomes. Curiosity and drive to keep learning, certifications (AZ-104, DP-203, AZ-400) are a plus, and we’ll help you get there. Nice-to-Haves Exposure to MLOps practices (MLflow, model deployment, or feature stores). Experience with ClickHouse or Azure Data Explorer (ADX) . Microsoft certifications: AZ-104, DP-203, AZ-400 . Experience in SaaS or Fintech platforms. Why You’ll Love Working at Wemetrix 💡 Purpose-Driven Work - You’ll help build the foundation of VALUEBOARD®, a platform that redefines credit risk management for enterprises. 🌍 Remote-First Flexibility - Work from anywhere in Greece, with occasional in-person team events in Athens. 📈 Growth Mindset Culture - We invest in learning, certification, and mentorship. 🤝 Supportive Engineering Community - Small, agile teams with autonomy and trust. 🧭 Career Impact - Join a growing company where your decisions shape the product and technology direction. Benefits & Perks 💶 Competitive salary and annual performance bonus 🏥 Private health insurance (for you & your family) 🎓 Microsoft certification & training support 💻 Modern tech stack (Azure, Databricks, AKS, MLflow) 🚀 Fast career progression within our technology group How to Apply If you’re excited about building secure, scalable cloud platforms and want to shape the future of AI-driven finance, apply now!