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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

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

• Designing, building and running ML workflows to build and improve our product catalog
• Building evaluation sets and validation logic that catch quality problems before customers do

• You will work in our motivated and solution-oriented AI Feature Team using agentic development methods and with a high degree of personal responsibility.
• You will design, develop and deploy scalable AI-enabled features in our products that are used by more than 100’000 customers.

• 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

Hands-on execution is at the core of what you do: designing, building, and shipping code across the full stack, from frontend to backend...

• 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.

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

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

• 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.

• 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

• 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