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DevOps Engineer

DevOps Engineer

Azure Cloud Engineer (Infrastructure & Data Platform)

wemetrix

Удалённоfulltime

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Описание вакансии

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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