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• Implementation of cloud infrastructure for SaaS & PaaS usage according to regulatory requirements and industry best practices
• Shape and implement the hybrid Cloud platform architecture blueprint including identity management, observability and security for Azure and AWS landing zones

• Implementation of cloud infrastructure for SaaS & PaaS usage according to regulatory requirements and industry best practices
• Shape and implement the hybrid Cloud platform architecture blueprint including identity management, observability and security for Azure and AWS landing zones

Ownership of research direction across one or more product domains, identifying critical knowledge gaps and translating them into research questions and study plans...

Key job responsibilitiesAs a Business Intelligence Engineer in Innovation and Design Engineering at Amazon, you will connect with engineers working at the forefront of designing new automation technologies. You will be working with massive-scale data and providing analytic support to product...

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Designing and delivering engineering solutions for our businesses and customers
• Providing production engineering services that keep our technology safe, stable and reliable
• Analysing business data within Deutsche Bank to shape plans and delivery

• Design, implement and maintain embedded software based on requirements and software architecture
• Document software designs and implementation decisions
• Develop and maintain software units and components in MISRA C, following IEC 62304 and applicable development processes

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

• Combine your studies with hands-on experience as an intern or working student to support applied research and prototyping in medical soft-body simulation for six months or longer
• Implement and validate soft-tissue deformation models using real patient data to build and validate simulation pipelines.

Act as a key architectural driver for evolving legacy systems into next-generation platforms, working closely with cross-functional engineering teams and peer architects located in Zurich and Bioggio TI to ensure deep technical readiness....

• Develop robust, reusable software components in modern C++
• Design APIs, interfaces, and software architecture
• Build and maintain workflows (build, packaging, deployment) and improve CI/CD with GitHub Enterprise/Actions

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Supporting software project management (depending on experience, you may take on the role of Scrum Master)
• Supporting general project activities (e.g. organization of PI events)
• Supporting software systems engineering, e.g., by creating requirements and documentation, performing tests

• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

• Leading and developing the Technical Process Consulting team (approx. 8–10 people) across the streams: Source‑to‑Pay, Record‑to‑Report, Plan‑to‑Produce, Plan‑to‑Maintenance, and Order‑to‑Cash
• Steering the transition from the QIAbase project into stable CoE processes and structures

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

Test approach and ownership: Design and own the test approach for assigned tools, including risk-based scoping, test levels and acceptance criteria....