Tools engineer állások Németországban (it programozás, fejlesztés)

• Innovation: You are motivated to transform one of the oldest industries from the ground up.
• Development: You are responsible for the independent, goal-oriented development of complex web applications and services based on modern, lightweight architectures using PHP, SQL, JavaScript, HTML, and CSS.

• You design and implement business capabilities in modern backend and frontend services, with a backend-leaning focus
• Where required for delivery, stability or safe migration, you actively contribute to changes in legacy systems

• Lead and support application onboarding to IAM platforms from consultation to integration. You'll be the go-to expert making it all work
• Collaborate closely with cross-​functional teams to architect, implement, and optimize secure identity solutions that scale with the business

In this role, you will join the Sovereign Cloud Platform engineering team. We build, harden, and operate the SAP Sovereign Cloud environments used as reference by the regional Operations teams. You will be working closely with SAP product teams, technical product managers, developers, security...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Programming (mostly) in Golang (Kubernetes Operators, REST APIs, libraries and tools)
• Designing solutions providing new features for our customers
• Develop and operate highly scalable cloud solutions

• Set up and integrate complex robotics systems for mobile manipulation tasks
• Computer vision algorithms are often developed in close collaboration with Computer Vision and AI Engineers
• Hardware drivers for various types of new robots, actuators, and sensors
• New UI screens

This will be your future job • Recording customer requirements and formalising them into system requirements • Refining device requirements • Monitoring project status using configuration management tools such as Jira and Confluence • Preparing for and participating in workshops with stakeholders •...

• define and further develop functional architectures for a sub-system of complex semiconductor systems for mask inspection
• analyze system requirements and derive technical specifications of modules belonging to image acquisition unit from them

• Execute, maintain and improve manual test cases in Azure DevOps, including updating test steps, logging defects, and verifying bug fixes through retesting.
• Support testing teams in preparing, configuring, and maintaining test equipment required for Component, Integration, and E2E testing activities.

Implementation of the user interface for the GHGA data portal and other web-based services, ensuring a world-class user experience and usability...

Identify and prioritise high-leverage AI and automation opportunities – and ship them, end to end....

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

Build working software end-to-end in AI-native tooling: Claude Code, Cursor, Replit, v0, Lovable, or equivalent. You are fluent across at least several of these and you experiment with new ones....

Run structured stakeholder interviews across asset management, property management, leasing, finance / controlling, and ESG to surface the processes where AI could create real value....

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

• Implement an MCP server running on embedded Linux (target: network switch platform)
• Interface status & counters (link, speed/duplex, errors, drops)
• MAC address table lookups
• ARP/neighbor information
• Routing table / L3 interface state (where applicable)

• Ship clickable, working prototypes in AI-native tooling — Claude, Cursor, Replit, v0, Lovable, Figma Make, Bolt, or equivalent — within the same week an idea surfaces.
• Use prototypes as the discovery artifact. A working demo in front of a tenant beats a 12-page PRD every time.