Java full-stack fejlesztő állások, munkák Németországban

• Work in an agile DevOps team on our BoFiT optimisation solution
• Write clean, testable and maintainable code, along with the corresponding technical documentation
• Contribute to the maintenance and evolution of a mature optimisation solution

Design, implement, and operate scalable web applications and services based on Java and Spring – from idea and implementation to deployment, monitoring, and optimisation in production....

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

• 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

• Exciting projects in the space industry
• Application- and hardware-related development
• Implementation of test procedures/automated scenarios including system integration
• Carrying out different test procedures
• Cooperation in system integration

Design, develop, and maintain SAP's official AI Core SDKs for Python, Java, and TypeScript....

• Ensure an excellent customer experience in close collaboration with our customers and partners
• Support our customers and partners to solve problems and ensure a noticeable top-level satisfaction
• Continuous improvement of our support quality and infrastructure

• 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

Owning Mollie's architecture at the deepest level, ensuring long-term scalability, performance, and maintainability...

• You will integrate models that run on edge devices within the infotainment domain.
• Furthermore, you will prototype & build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.

• 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.

• 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

• As a systems engineer, you will work closely with colleagues in the project teams
• If you are interested and suitable, you also could participate in software development for air traffic control products
• You will act as the technical interface between the customer and our internal contacts

• Leading customer workshops and analyzing needs for innovation and extensions together with the customer
• Preparing a solution proposal and effort estimation in close collaboration with our global development teams
• Propose and present solution design and solution architecture to our customers

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Partner with business and IT stakeholders to guide strategic and transformational initiatives across the Microsoft Dynamics landscape (D365 CE, D365 FO, Customer Insights, Marketing, Field Service).
• Establish and further strengthen the AI-Driven CRM System with an agentic approach.

• You build and operate AI platforms for data pipelines, training, deployment, and inference.
• You optimise for best-in-class AI models, employing suitable ML and LLM approaches.

• Design, develop, and implement high-quality fullstack solutions for customer projects
• Work directly with customers to understand business requirements and translate them into technical solutions
• Develop scalable backend services and modern frontend applications