Platform engineer állások Németországban (programozó, fejlesztő)

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• 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

Build scalable software solutions such as backend services and APIs that support our business processes and own the continuous development of our platform....

• Build server-side logic using Shopify Functions and develop custom apps on GCP (Cloud Run, PostgreSQL) to power platform operations.
• Manage multi-org pipelines using a single codebase to serve multiple Shopify Plus organizations with independent services and a shared database.

You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems....

• You will be part of an interdisciplinary team having the joint mission to create the future of sustainable mobility.
• Accompanied by an experienced mentor, helping you to open doors, you can grow professionally and personally.

• Develop Linux based machine platform and application software architectures from the first idea to series production and operation
• Contribute to our global machine control and connectivity platform
• Design and implement embedded machine application and connectivity software components

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

• Build and evolve mobile solutions: Design, develop, and maintain high-quality React Native applications.
• Own architecture and technical decisions: Understand platform specifics, runtime behavior, dependencies, and deployment pipelines to ensure maintainable, efficient, and scalable mobile solutions.

• Contribute to building and maintaining robust Java microservices that power creative tools
• Explore cloud technologies and dive into AWS infrastructure alongside experienced developers
• Help ensure quality and reliability through testing and providing fresh perspectives on our solutions

• The People Lead: You guide and mentor your team members, fostering a culture of ownership and continuous improvement
• The Value Stream Lead: In close partnership with Product, you turn ideas and priorities into features for our customers, maximizing their engagement

• 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

• Design, build, and operate Java‑based cloud services, owning them from design through production
• Evolve scalable, secure, and reliable capabilities using modern cloud and distributed systems practices
• Improve system performance, resilience, and operability across multiple cloud regions

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....

• Development and testing of audio signal processing systems
• Implementation, verification, and documentation of low-power real-time signal processing algorithms on DSP
• Hardware platform and digital logic design for signal processing systems

• 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.

• 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.

• 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.

What you`ll do: You'll build autonomous operations capabilities within the “Apeiro Reference Architecture” ApeiroRA as part of the EU's IPCEI-CIS initiative to strengthen Europe's digital sovereignty, solving complex challenges that eliminate manual incident response, and enable predictive...