- Deploy, operate, monitor, and continuously improve cloud-based applications and services.
- Take ownership of operational topics, including troubleshooting, incident analysis, root-cause identification, and implementation of long-term improvements.
- Support the end-to-end application lifecycle, including requirements analysis, solution design, software development, testing, deployment, integration, security, compliance, and production support.
- Work closely with business and technical stakeholders to understand requirements and design reliable, secure, and scalable technical solutions.
- Improve automation, observability, deployment processes, and operational tooling to increase service reliability and engineering efficiency.
WHAT SKILLS WILL BE APPRECIATED?
- Hands-on experience with Microsoft Azure and/or Google Cloud Platform (GCP).
- Experience with containerized and serverless workloads, particularly Google Cloud Run or comparable Azure services.
- Experience operating and maintaining MongoDB, including configuration, monitoring, backup/restore, and troubleshooting.
- Experience with Quarkus-based applications or comparable Java microservice frameworks.
Good understanding of Docker/OCI containers.
Experience with CI/CD pipelines and automated deployments. - Knowledge of Infrastructure as Code, preferably Terraform.
- Ability to work autonomously, make sound technical decisions, and drive topics independently from analysis to implementation.
AI tools and AI-assisted engineering- Practical experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Claude, or comparable solutions.
- Ability to use AI tools effectively for coding, scripting, troubleshooting, log analysis, documentation, testing, and automation.
- Ability to create effective prompts and provide the appropriate technical context to AI tools.
- Ability to critically review and validate AI-generated code and recommendations rather than relying on generated output without verification.
- Understanding of security, confidentiality, and data-protection considerations when using AI tools in an enterprise environment.
- Interest in identifying opportunities to use AI to increase engineering productivity and automate repetitive DevOps activities.
OUR OFFER FOR YOU
Working at T Hub means joining an international environment where you can contribute to meaningful technology projects, develop your skills, and help shape reliable digital solutions used across Deutsche Telekom Group. If you are looking for a role that combines engineering ownership, cloud technologies, automation, and real operational impact, we would like to hear from you.
No dress code - you can just be yourself here
Medical, sport and life insurance packages at preferential terms
Access to our products and services at preferential terms
Employment contract-based cooperation
Know Talent - receive training or financial bonus for recommending new employees
WHAT WILL YOUR RECRUITMENT PROCESS BE LIKE?
A fair approach to all people who want to join T Hub means that:
- The recruitment process is transparent;
- Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on he outcome of the process):
- Regardless of the outcome of the process, you will get detailed feedback.
Let’s meet to better understand each other's expectations.
Our screening meeting will last about 20-30 minutes. We will ask you about our areas of interest and will be happy to field any questions you may have.
Hiring Manager will receive a recommendation for your application.
There’s nothing for you to do at this stage — we’ll take care of everything. During this time we process all the information we've gathered during the screening process and dig deeper into your CV.
Technical meetings with the Hiring Manager and/or team members.
We will invite you to one or two project meetings to confirm that we have a ‘perfect match'. The meetings may last between 30 minutes and 90 minutes, during which time we will talk to you about mutual expectations and the vision for our collaboration. You will also most likely meet your future supervisor and your teammate during this time.
At this stage, we will have decided that you are the person we want to develop our projects with. We will then come back to you with an offer of collaboration, hoping for your "yes". If for some reason, we are unable to offer you a position in our team, you will certainly receive feedback from us explaining our decision.