Azure Cloud Engineer (Infrastructure & Data Platform)
- Salary
- Not stated
- Level
- Mid
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 15 October 2026.
About the role
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.
Requirements
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.
Benefits
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!
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