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...

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....

• 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.

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.

• 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.

• 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.

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft.
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions.

• Develop hardware-related software using CODESYS V3 and Siemens Step7
• Integrate modules into system architecture and contribute to platform development in C++
• Design and implement software following best practices (e.g., SOLID)
• Perform automated and manual testing to ensure quality