Engineer ai állások, munkák Németországban

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

• Operate and maintain complex Hyperscaler/SAP Cloud Infrastructure networks, track significant problems, monitor performance, and perform upgrades as required.
• Engage with customers in network architecture discussions to meet their security requirements.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
• Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.

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....

You will represent SAP Global Cloud Operations in front of major SAP customers in the region MEE for technology and operations topics i.e. the face of SAP Cloud Operations....

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

• 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

You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts....

BUILD SOFTWARE THAT MATTERS You'll develop industrial software that powers daily operations at Aurubis, our parent company. Your work will have real impact beyond a backlog item. Working fullstack with Kotlin/Spring Boot and TypeScript/React, you'll build features end-to-end while keeping systems...

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Ensure we never fail for the same reason twice.
• Go on-call and respond to automated alerts and execute playbooks.

Taking responsibility: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. Security & Identity...

• Design, build, and operate Java‑based cloud services, owning them from design through production
• Evolve scalable, secure, and reliable capabilities using modern cloud and distributed systems practices
• Improve system performance, resilience, and operability across multiple cloud regions

• Maintain and prioritize product backlog and breakdown business requirements to EPICs, User Stories and issues
• Bridge disciplines - think like a product manager, act like an engineer. You translate between users, clients, and your team to ensure real needs are met.

• Designing the overall system architecture for complex research platforms
• Conceptualizing data submission workflows for sensitive medical imaging data
• Defining architectural concepts for benchmarking and evaluation platforms, including secure execution of submitted models

• Gewerkeübergreifende Arbeiten als HKLS-Meister im Gebäudebetrieb
• Enge Zusammenarbeit mit direkten Kollegen in der Haustechnik
• Durchführung, Begleitung und Unterstützung der Wartung, Reparatur und Instandsetzung von gebäudetechnischen Anlagen

• Gewerkeübergreifende Arbeiten als HKLS-Meister im Gebäudebetrieb
• Enge Zusammenarbeit mit direkten Kollegen in der Haustechnik
• Durchführung, Begleitung und Unterstützung der Wartung, Reparatur und Instandsetzung von gebäudetechnischen Anlagen

• Gewerkeübergreifende Arbeiten als HKLS-Meister im Gebäudebetrieb
• Enge Zusammenarbeit mit direkten Kollegen in der Haustechnik
• Durchführung, Begleitung und Unterstützung der Wartung, Reparatur und Instandsetzung von gebäudetechnischen Anlagen

• Gewerkeübergreifende Arbeiten als HKLS-Meister im Gebäudebetrieb
• Enge Zusammenarbeit mit direkten Kollegen in der Haustechnik
• Durchführung, Begleitung und Unterstützung der Wartung, Reparatur und Instandsetzung von gebäudetechnischen Anlagen