Wemetrix is seeking an Azure Cloud Engineer to design, build, and scale the cloud infrastructure powering our VALUEBOARD® platform. You will be a key technical contributor, collaborating closely with data engineers, ML engineers, and product teams to deliver a robust, scalable, and secure foundation.
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 (e.g., Prometheus, Grafana, Elastic Stack, Datadog, Azure Monitor) 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 We're Looking For
- 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.
Nice to Have
- 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.
Technical Stack
- Cloud: Microsoft Azure
- IaC: Terraform, Bicep
- CI/CD: Azure DevOps, GitHub Actions
- Compute & Data: Azure Kubernetes Service (AKS), Azure Databricks, Azure Data Factory (ADF), Synapse, ClickHouse, Azure Data Explorer (ADX)
- Monitoring & Observability: Prometheus, Grafana, Elastic Stack, Datadog, Azure Monitor
Team & Environment
You'll join a small, agile team with significant autonomy and trust, collaborating directly with data, ML, and product engineering.
Benefits & Compensation
- Private health insurance for you and your family.
- Microsoft certification & training support.
- Competitive salary.
Work Mode
This is a local-country position based in Greece.
You will help build the foundation of VALUEBOARD®, a platform that redefines credit risk management for enterprises. We foster a growth mindset culture, invest in learning and mentorship, and support a collaborative engineering community. Join a growing company where your decisions shape our product and technology direction.



