Java software engineer engineering tools állás, munka

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.

We are looking for an Expert DevOps Engineer (f/m/d) within the Sovereign Cloud Delivery & Operations team in the Customer Services & Delivery board area, focused on the Sovereign Cloud deployment of SAP SuccessFactors (HCM). In this role, you will join the Multi-Tenant Engineering team: We own,...

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders.
• Data Mart Infrastructure: Build and maintain a robust data mart infrastructure within AWS Redshift to support reporting needs.

To deliver high-quality, user-focused frontend experiences, you build complex UI features in React & Next.js, develop component-based UI systems and optimize UX together with our Product Managers and Designers....

Stakeholder Collaboration, Business Understanding & KPI Generation: Partner with business stakeholders to understand their needs, implement business logic and co-create impactful KPIs...

• Work in a cross-functional team with full ownership of the services you develop.
• Enhance platform architecture to support current and future standard processes.
• Contribute to high standards of code quality, robustness, and security.

• Maintain and manage FI data operations, ensuring accuracy and consistency across systems
• Support annual planning templates and collaborate with business units using SAP BW and MS Power BI tools for planning cycles

You will familiarize yourself in detail with the modeling approaches of existing in-house and commercial calculation tools....

• Own and deliver end-to-end Salesforce solutions - from analysis, design, and development to deployment, monitoring, and incident response
• Lead and independently drive technical projects within the team and across domains, acting as a mature and solution-oriented technical counterpart

• Design, implement, and maintain high-performance, scalable backend services that power our platform.
• Work on resilient distributed systems using Kafka for event-driven workflows and Redis for real-time, fast data access and caching.

As a Senior Program Manager in the Data & Analytics Unit, you will identify, launch & steer innovative projects in the field of data foundations and data insights (including ML). In this role, you will be responsible for the planning and successful execution of multiple data-driven business...

• 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.

Conduct Interoperability Testing: Perform comprehensive testing of medical imaging devices and software to ensure compatibility and compliance with DICOM standards....

Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning and shop assortment optimization....

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• scientific research and Development of tools for efficient HPC system operation and monitoring
• research and Development of data-driven and AI-based optimizations for HPC operation
• collect and evaluate requirements for operation software

• You assess and understand the scope and use case of complex software applications.
• You analyze software requirements and interface documentation, then design the appropriate architecture.
• You implement and integrate software for distributed systems.

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.