Cloud Computing Engineer We are seeking a Cloud Computing Engineer to join our team. In this role, you will design, deploy, and operate scalable and robust cloud environments supporting data and analytics workloads. - You will build, automate, and maintain complex data pipelines using Argo Workflows for orchestration, scheduling, and workflow automation. - You will lead or support migration of source code repositories and CI/CD pipelines to GitLab or other Git-based platforms. - You will develop and manage infrastructure with Terraform and related tools, implementing infrastructure automation and repeatable deployments in AWS and Kubernetes. - You will support high-availability S3-based data lake environments and associated data tooling, ensuring robust monitoring, scalability, and security. - You will instrument, monitor, and create actionable alerts and dashboards for Kubernetes clusters, Argo workflows, and data platforms to quickly surface and resolve operational issues. Requirements To be successful in this role, you will need: - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience; - 5+ years of production experience operating and managing Kubernetes clusters; - Strong hands-on experience with AWS cloud services; - Deep hands-on experience with Argo Workflows, including developing, deploying, and troubleshooting complex pipelines; - Experience with Git, GitLab, and CI/CD, including leading or supporting migration projects and the adoption of GitOps practices; - Effective at developing infrastructure as code with Terraform and related automation tools; - Practical experience in automating data workflows and orchestration in a cloud-native environment; - Proficient in SQL and basic scripting; - Sound understanding of networking, security, and IAM in cloud environments; - Proficient in Linux-based systems administration; - Strong written and verbal communication skills; - Ability to collaborate in cross-functional environments; - Track record delivering reliable, secure, and scalable data platforms; - Experience working with S3-based data lakes or similar large, cloud-native data repositories; - Upper-Intermediate English level.