Company Description

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different perspectives, embrace challenges, and are committed to continuous learning in order to grow and make an impact on society... all in a fun way!

It doesn't matter when or where you work. It's about doing meaningful work that advances society. For this reason, we will do everything possible to ensure that you have all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. We support you in growing both personally and professionally so that you can make a notable impact on society.

T-Systems is a team of around 28,000 employees worldwide, making us one of the leading global providers of end-to-end integrated solutions. We develop hybrid cloud solutions, artificial intelligence, and drive the digital transformation of companies, industries, the public sector, and ultimately, society as a whole

Job Description

About the Role:
We are looking for a motivated DevOps Engineer to join our team and support the operation and further development of our text-recognition solution that has a focus on communication with local authorities. This role combines administrative and technical responsibilities, focusing on ensuring smooth operations, monitoring system performance and implementing improvements to optimize application reliability and accuracy.

Your Responsibilities:

• Operate, maintain, deploy and monitor our AI-powered text recognition application hosted on GCP
• Enhance and refine the application's cloud architecture and resource mapping for scalability, cost-efficiency, and reliability.
• Automate monitoring, alarming and incident resolution as much as possible
• Integrate and manage partner system connections through REST APIs and API Gateways.
• Support operating and maintaining LLM endpoints, hosted on Azure
• Monitor the technical performance of the AI model, its statistical accuracy indicators and user feedback
• Create and adjust Document intelligence models in Microsoft Azure
• Ensure Operation by supporting Incident-, Problem- and Change management processes
• Continuously improve Monitoring and Alarming Capabilities of the Application
• Support the solving of Service Desk Tickets from our internal customers
• Further develop and optimize simple rules in Python to improve application output quality.
• Deploy and manage use cases through GitLab pipelines.
• Integrate services to enhance application functionality and improve API management.
• Perform administrative activities such as user management and technical activities such as network configuration, IaC deployment and service monitoring.