It security állások Németországban (programozó, fejlesztő)

Core Development: You design and implement scalable, high-availability backend services using Node.js/NestJS and modern frontend applications with React/Next.js....

• 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

- Develop new features for an established software product, following an agile approach, technical analysis, planning, phased implementation, and testing - Provide architectural guidance, focusing on high-level design, components, and non-functional requirements (e.g., scalability, security) to...

• 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

• You develop and maintain a company-wide ecosystem for AI-supported software development – from IDE configurations and AI rules to best practices.
• Every day, you work with AI coding assistants (Claude Code, GitHub Copilot, Cursor) and understand their strengths and limitations.

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

Build Europe's sovereign cloud infrastructure through open source at SAP, with a focus on network automation. You'll contribute to the ApeiroRA Reference Architecture within the EU's IPCEI-CIS initiative, developing Kubernetes operators and controllers that automate network provisioning and...

• You will take technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• Design and implement scalable data engineering and analytics solutions in Azure and Databricks.
• Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.

• You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

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....

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs) .
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP .

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....