Azure Cloud Engineer (Infrastructure & Data Platform)
wemetrix
| Company | wemetrix |
| Category | Engineering |
| Location | Athens |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 1 Nov 2025 |
| Last verified | 8 Aug 2026 |
| Source | Employer ATS (workable) |
Description
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.