Cloud/ DevOps Engineer

Join GTECH Cloud Engineering as a Cloud DevOps Engineer. In this role, you will build, automate, secure, and support RX Cloud Platforms across AWS and Microsoft Azure. You will work closely with software engineering and cloud teams to improve cloud infrastructure, deployment automation, observability, and platform reliability. Key responsibilities include maintaining AWS cloud infrastructure, supporting AWS services, developing Terraform modules, building CI/CD pipelines, applying cloud security best practices, and contributing to continuous improvements across cloud platforms.

• Construire, maintenir et soutenir l'infrastructure cloud AWS en utilisant les principes de l'infrastructure en tant que code.
• Développer et maintenir des modules Terraform et des modèles d'infrastructure réutilisables.
• Automatiser les activités opérationnelles répétitives et utiliser des outils d'ingénierie assistée par l'IA pour soutenir le dépannage.

• Good hands-on experience with Amazon Web Services and/or Microsoft Azure
• An automation-first mindset and willingness to take ownership of delivering reliable, high-quality solutions
• Experience with a range of cloud services such as EKS/AKS, EC2, ECS/Fargate, IAM, VPC/Virtual Networks, Route53, CloudFront, RDS, S3, ALB, Systems Manager, CloudWatch, Azure Storage and Azure Monitor
• Experience with Terraform, CloudFormation or similar Infrastructure as Code tooling
• Bash or PowerShell scripting skills and experience working with Linux environments
• Good troubleshooting, communication and collaboration skills
• Experience working with software engineering or Agile delivery teams
• Experience with Git, GitHub, GitHub Actions and CI/CD practices
• Exposure to complementary technologies such as Docker, Kubernetes, Ansible, OpenSearch, Elastic Cloud, Python, AWS Control Tower, Security Hub, GuardDuty, Inspector, GCP, FinOps, cloud cost optimisation or AI-assisted engineering tools would be beneficial
• Familiarity with monitoring, logging, cloud security and IAM best practices