Ai developer állások Németországban (rendszerintegrátor)

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, observability, and the APIs that...

• Research, design, and implement complex product features and functionalities for cutting-edge cloud technologies as part of SAP Business Technology Platform
• Commit to project timelines and tasks, deliver on time, in scope, and with high, uncompromised quality

• Design, develop, and implement backend services and APIs
• Collaborate closely with customers to understand requirements and propose technical solutions
• Work together with frontend developers, software architects, project managers and customer stakeholders

• Establish yourself as the Go-to-person at customers for all AI related topics in the CEE region
• Lead the design and delivery of SAP Business AI architectures aligned with customer business strategy.
• Translate strategic AI initiatives into technical reality

• Architect and implement AI solutions within SAP systems to enhance business processes and decision-making.
• Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP.

• Architect and implement AI solutions within SAP systems to enhance business processes and decision-making.
• Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP.

• Operate, maintain, and further develop cloud-managed Kubernetes clusters
• Build, maintain, and continuously improve CI/CD pipelines using GitLab CI
• Develop and maintain infrastructure as code using Terraform, Ansible, and Helm
• Automate operational tasks and improve developer workflows

In this role, you will join the Multi-Tenant Engineering team: We own, build, and harden, the internal SAP Sovereign Cloud environments used as reference by the regional Operations teams. You will build the automation deployment that will deliver SAP SuccessFactors (HCM) applications to SAP...

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

• Lead the strategic evolution and rationalisation of a large, complex Dynamics 365 platform, ensuring it becomes more efficient, maintainable, and accessible for integration with other systems.
• Identify opportunities to retire or simplify processes, while modernising architecture and functionality.

• Support with the operation of the Azure-based platform (including Docker on Linux/Windows VMs) with team guidance
• Assist in building and documenting data pipelines (Azure Data Factory, Databricks catalogs)
• Help create and maintain Databricks notebooks (Python) for specialized use cases