Azure Cloud Engineer (Infrastructure & Data Platform)

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.

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.

• →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.

• 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.

• 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.

• 💡 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.

If you’re excited about building secure, scalable cloud platforms and want to shape the future of AI-driven finance, apply now!