Building administrator állások Németországban (rendszerintegrátor)

Design and Own End-to-End Solutions: Lead the architectural design and implementation of full-stack features, from robust backend services to intuitive internal dashboards....

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...

Use your Kubernetes and Go expertise to contribute to Gardener's core components – the foundational building blocks that enable Gardener to manage thousands of Kubernetes clusters across various cloud providers....

In Observability you'll build the tools for monitoring and measuring infrastructure, microservices, and sometimes totally unique workloads. You'll put the developer experience at the front of your mind and implementations, and you'll contribute deeply to understanding and preventing incidents...

- Design, develop, and maintain software components and automation tools with a strong focus on Python development and object‑oriented programming (OOP) principles. - Contribute to building and improving internal applications, scripting solutions, and automation workflows to support engineering and...

• 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

Pilot Projects, PoCs & Operations: You plan, execute, and support mioty® pilot projects and proof-of-concept deployments, including on-site commissioning, troubleshooting, and live operation support....

• Use your in-depth networking knowledge to shape, build and maintain the networking underneath for thousands of managed Kubernetes clusters on various cloud providers.
• Design and develop solutions for networking problems within Kubernetes clusters and around them.

• Design and implement security architecture for our Internal Developer Platform
• Drive adoption of Zero Trust principles across platform components, networks, identities, and services

• Writing clear and precise customer documentation for hardware and software products in German and English, taking into account company standards and legal requirements;
• Analyse user needs to ensure our documentation provides the correct information for successful product installation and operation;

• 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

Own solution architecture & design for Matrix42 ESM implementations, including target architecture, solution blueprint, and decision rationale....

• 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

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• 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

• You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control.
• You will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models.

• Development of software concepts and software architecture including exception handling for fast feedback systems of the PETRA IV project
• Review of software requirements, design and functionalities for the PETRA IV project