Tools engineer állások Németországban (rendszertervező)

• Work closely with Product Management to understand the business needs and find appropriate technical solutions
• Design, own and operate scalable, secure payment systems that handle financial transactions efficiently in a multi‑tenant Cloud/SaaS environment

Collaborate with Fortune 100 customers to understand their business objectives, technical requirements, and challenges, and translate them into scalable and innovative technology solutions. You will leverage your expertise to design solutions that align with Shopify's best practices and industry...

Own and operationalize privacy-by-design and privacy-by-default across all stages of the product development lifecycle, from concept and architecture to development, deployment, and maintenance....

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

Our backend systems are the backbone of ING's Daily Banking platform – and this is where you come in. You'll design, develop, and maintain reliable backend applications and services using modern frameworks like Spring Boot, Java and Kotlin, providing the power our systems need....

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

• 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.

• 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

Lead the modeling core with fundamental mathematical, statistical, and machine-learning methods that bring customer and market data with knowledge into an executable strategic twin...

• 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

• 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.