Digital project menedzser állás, munka

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, help to solve complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs...

• Lead, mentor, and grow a cross-functional engineering team to deliver high-quality and scalable solutions that enhance the discovery experience.
• Collaborate closely with product managers, designers, and stakeholders to align team efforts with business goals and user needs.

• Design, Prototype and experiment, turning new ideas into tangible MVPs and proofs of concept through refining them with feedback from consultants and clients.
• Lead the development of AI products tailored to real business challenges — from concept to scalable implementation.

• Engineering of Cloud-based Web Applications for the optimization of internal processes
• UI Development (Coding & Styling)
• Backend development

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

The AO is a medically guided, not-for-profit organization, a global network of surgeons, and the world's leading education, innovation, and research organization specializing in the surgical treatment of trauma and musculoskeletal disorders. We are home to people from all over the world, from...

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Help define what Resiliency and Site Reliability Engineering means for Shopify.

• Drive frontend development of customer-facing features on rebuy.de, focusing on Angular, with occasional opportunities for cross-stack collaboration (PHP/Symfony, Kotlin)
• Drive technical decisions on architecture, performance, and scalability for the frontend

• own and evolve the frontend architecture for an embedded system and beyond
• design user-facing apps considering resource limits, security, and update constraints
• actively contribute code and drive hands-on development, especially in early project phases

• own and evolve the userspace architecture of an embedded Linux system
• contribute hands-on to core components, especially in early project phases
• define stable interfaces and APIs in collaboration with frontend and system teams
• build and mentor the engineering team

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.