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 all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. 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
Obtenga más información sobre las tareas generales relacionadas con esta ocasión a continuación, así como sobre las habilidades requeridas.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.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 possibleIntegrate and manage partner system connections through REST APIs and API Gateways.Support operating and maintaining LLM endpoints, hosted on AzureMonitor the technical performance of the AI model, its statistical accuracy indicators and user feedbackCreate and adjust Document intelligence models in Microsoft AzureContinuously improve Monitoring and Alarming Capabilities of the ApplicationSupport the solving of Service Desk Tickets from our internal customersFurther develop and optimize simple rules in Python to improve application output quality.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.Proffesional experience in a DevOps or Cloud Engineering role at least for 3 yearsStrong expertise with Google Cloud Platform (GCP) and GCP services like Cloud Run, Google Kubernetes Engine (GKE), IAM, Cloud Storage, … and cloud operations (endpoints, DNS, firewalls, subnets, etc.).Terraform) is mandatory.Proficiency with CI/CD workflows, preferably with GitLab CI.Solid understanding of containerization (Docker) and orchestration (Kubernetes).Good Python programming skills for rule development and automation scripting.Experience working in an Agile team environmentFamiliarity with API gateways and integrations.Prometheus, Grafana, ElasticSearch).Basic experience with Azure platformHybrid work model (telework/face-to-face).Continuous training. xiphtebIf you are looking for a new challenge, do not hesitate to send us your CV Please send CV in English.