Cloud Engineer
On-siteTávros, Attica, Greece
Job Summary
Set up and evolve cloud-based environments for SaaS products, designing and implementing CI/CD pipelines for applications and infrastructure. Manage Infrastructure as Code using Terraform, CloudFormation, or Bicep to create reusable modules and automated provisioning. Support the transition from Azure to AWS by delivering hands-on implementations while maintaining existing Azure workloads. Implement and operate multi-cloud foundations including landing zones, identity, networking, and secrets, alongside Data Engineering platforms and pipelines. Operate observability using Prometheus and Grafana, collaborate on deployment patterns with containers and Kubernetes, and introduce DevOps practices to improve delivery. Work with the security officer to apply best practices and support compliance requirements.
Required Qualifications
- BSc/MSc in Computer Science, Engineering, or any other relevant degree
- 3-5+ years of experience as a Cloud Engineer (or DevOps/Platform Engineer) supporting production environments
- Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, Azure DevOps) and release processes
- Strong Infrastructure as Code mindset and tooling experience (Terraform/CloudFormation/Bicep), with code reviews and modular design
- Strong hands-on experience with AWS (IAM, VPC, compute, storage, monitoring) and the ability to support existing Azure workloads with familiarity in key Azure building blocks (Entra ID, networking, Azure DevOps, Bicep/ARM)
- Solid understanding of cloud networking and security fundamentals (IAM/RBAC, VPC/VNet, security groups/firewalls, TLS, secrets)
- Observability experience with Prometheus & Grafana (metrics, dashboards, alert rules) and ability to troubleshoot using logs/metrics
- Exposure to Data Engineering architectures and tools (data lakes/warehouses, ETL/ELT, orchestration like Airflow/dbt, streaming concepts)
- Comfortable with containers (Docker) and container-based deployment patterns
- Good communication skills, ownership mindset, and ability to collaborate across engineering, product, and security
Desired Qualifications
- Hands-on AWS migration experience (workload assessments, migration strategies, cutover planning)
- Hybrid connectivity and identity federation between clouds (VPN/peering, SSO, centralized IAM patterns)
- Containers at scale and orchestration experience (Kubernetes/EKS/AKS)
- Deeper Data Engineering ecosystem experience (e.g., Databricks, Spark, Airflow/dbt in production, streaming platforms)
- Security and compliance automation (policy-as-code, vulnerability management, audit readiness)
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