Cloud Devops Engineer (REF3987B)
Deutsche Telekom IT Solutions11 hours ago
Debrecen, Hungary +3 moreMid Level
Responsibilities
- Develop, document, integrate, and deploy Infrastructure-as-Code into multiple staged cloud runtime environments.
- Provide abstract interfaces for an overarching automation backend.
- Coordinate security measures across multiple layers of a resource management product.
- Monitor and ensure code security, code quality, and runtime quality using standard tools and rulesets.
- Collaborate in an international, cross-functional team across Germany, Hungary, and Spain.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or information technology, or equivalent work experience in IT.
- At least 3 years of DevOps or infrastructure engineering experience.
- Strong written and verbal English communication skills.
- Experience maintaining and deploying to Docker and Kubernetes.
- Experience with cloud platforms such as AWS, Azure, GCP, or equivalent.
- Experience with Terraform and Jenkins.
- Preferred experience includes security infrastructure technology, cloud networking, GitLab CI/CD, GitHub Actions, GitOps tools, cloud monitoring, Jira, Confluence, and Helm.
- Willingness to continually learn and collaborate in a team environment.
Benefits
- Remote work is available within Hungary only due to European taxation regulations.
- The role is part of an international, cross-functional IoT and cloud technology team.
Tech Stack
AWSAzureDockerGitHub ActionsGitLab CI/CDGoogle CloudGoogle Cloud PlatformHelmJenkinsKubernetesTerraform
Categories
About Deutsche Telekom IT Solutions
Deutsche Telekom IT Solutions is the Hungarian IT services arm of Deutsche Telekom, founded in 2006 and headquartered in Budapest. It delivers managed IT operations, cloud and DevOps services, application support, and system integration for Deutsche Telekom units and enterprise customers across Europe. The company operates from four sites—Budapest, Debrecen, Pécs, and Szeged—supporting large-scale infrastructure, CI/CD pipelines, and containerized workloads on platforms such as Kubernetes and T-Cloud Public.