Job Description
At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. For this reason, we will do everything possible to ensure that you have every opportunity to develop by offering you a support network, excellent technology, a new work environment and the freedom to work independently. We develop hybrid cloud and artificial intelligence solutions and drive the digital transformation of companies, industry, the public sector and, ultimately, society as a whole.
We are looking for a motivated DevOps Engineer to join our team and support the operation and further development of our T-GAIA Chatbot Framework and the Chatbots. This role combines administrative and technical responsibilities, focusing on ensuring smooth operations, monitoring system performance and implementing improvements to optimize application reliability and accuracy.
Set up, debug, and deploy T-GAIA Chatbots as a cloud service and other GenAI products and enablers.
• Capacity and Performance
• Continuously improve Monitoring and Alarming Capabilities of the T-GAIA Framework and the hosted Chatbots
• Support the solving of Service Desk Tickets from our internal customers
• Deploy and manage use cases through GitLab pipelines.
• Perform administrative activities such as user management and technical activities such as network configuration, IaC deployment and service monitoring. Set up, maintain, and administer Jira Service Desk and internal Wiki/Documentation systems
Assist with MS Azure Cloud tooling and pipelines (Deploying, Monitoring, Logging, Security, IAM)
Perform quality assurance checks for billing accuracy, security posture, and compliance
Terraform/ Infrastructure as Code, Gitlab, CICD (e.g., GitLab CI, Cloud Build), Kubernetes, GIT
Hands-on experience with Google Cloud Platform (GCP) and / or MS Azure, especially IAM, Monitoring, Billing, and Landing Zones
Scripting capabilities (Bash, Python, or similar)
Jira (Service Desk/Projects/Workflows) and Confluence/Wiki
Experience with API Integration and use of API-Gateways
Google GCP Devops Engineer Level, either with Certification or proven experience. Alternatively similar Qualifications for MS Azure
Experience working with or within a Cloud Center of Excellence (CCOE)
Experience in project management, User Management, Reporting, Monitoring, Public Cloud Billing, Automation of Public Cloud Processes and Ticket Handling within an IT-like Organization.
Experience with Containers and Kubernetes o Expected to use AI functions when appropriate.
Hybrid work model (teleworking/on-site).
~ Continuous training: Preparation for certifications, access to Coursera, weekly English and German classes...
~ Flexible compensation plan: health insurance, meal vouchers, childcare, transport assistance...
~ Social fund.
~
We are looking for a motivated DevOps Engineer to join our team and support the operation and further development of our T-GAIA Chatbot Framework and the Chatbots. This role combines administrative and technical responsibilities, focusing on ensuring smooth operations, monitoring system performance and implementing improvements to optimize application reliability and accuracy.
Set up, debug, and deploy T-GAIA Chatbots as a cloud service and other GenAI products and enablers.
• Capacity and Performance
• Continuously improve Monitoring and Alarming Capabilities of the T-GAIA Framework and the hosted Chatbots
• Support the solving of Service Desk Tickets from our internal customers
• Deploy and manage use cases through GitLab pipelines.
• Perform administrative activities such as user management and technical activities such as network configuration, IaC deployment and service monitoring. Set up, maintain, and administer Jira Service Desk and internal Wiki/Documentation systems
Assist with MS Azure Cloud tooling and pipelines (Deploying, Monitoring, Logging, Security, IAM)
Perform quality assurance checks for billing accuracy, security posture, and compliance
Terraform/ Infrastructure as Code, Gitlab, CICD (e.g., GitLab CI, Cloud Build), Kubernetes, GIT
Hands-on experience with Google Cloud Platform (GCP) and / or MS Azure, especially IAM, Monitoring, Billing, and Landing Zones
Scripting capabilities (Bash, Python, or similar)
Jira (Service Desk/Projects/Workflows) and Confluence/Wiki
Experience with API Integration and use of API-Gateways
Google GCP Devops Engineer Level, either with Certification or proven experience. Alternatively similar Qualifications for MS Azure
Experience working with or within a Cloud Center of Excellence (CCOE)
Experience in project management, User Management, Reporting, Monitoring, Public Cloud Billing, Automation of Public Cloud Processes and Ticket Handling within an IT-like Organization.
Experience with Containers and Kubernetes o Expected to use AI functions when appropriate.
Hybrid work model (teleworking/on-site).
~ Continuous training: Preparation for certifications, access to Coursera, weekly English and German classes...
~ Flexible compensation plan: health insurance, meal vouchers, childcare, transport assistance...
~ Social fund.
~
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