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

• 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

• 6 weeks of holidays (with the option to buy up to 10 additional days)
• 40-hour work week
• 18 weeks of maternity leave and 6 weeks of paternity leave (also applies to adoption)
• Flexible working arrangements – we strongly value work-life balance
• Access to mental health, well-being, and counselling platforms

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

Our Berlin Technology Centre has a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies. You will work alongside the brightest minds in the business, as you develop your digital skills and explore where...

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

• Drive strategic design initiatives aligned with customer and user needs, product vision, and company strategy with a focus on SAP Signavio Suite Experience.
• Develop early design concepts and strategically evolve product and value propositions.

• Writing and improving shell scripts to enable CI/CD process optimization
• Enabling application deployment by checking and writing Openshift scripts
• Maintaining development tools (build tools, IDEs, containers, etc.)

• Define project scope, objectives, and deliverables.
• Create detailed project plans, including timelines, milestones, and resource allocation.
• Assign tasks and responsibilities to team members.
• Facilitate communication and collaboration across departments and stakeholders.

• Coordination of system and segment operation as much as the service engineering team
• Coordination of technical and operational System Level aspects with the operations managers (MOMs, SOMs and others) and engineers of the Centers and Segments

• Jéremy Calles - Head of Engineering Manager - LinkedIn
• Design and evolve the Ricardo domain architecture using Domain-Driven Design (DDD)
• Define subdomain structures and ensure architectural coherence across teams
• Translate business goals into a long-term technical roadmap

Serve as a trusted advisor for HANA Cloud migrations, guiding customers in transitioning from legacy systems to cloud-native data platforms while connecting solutions to business outcomes....

• 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.

• A challenging position in an open and dynamic midsize employer within an international environment
• Competitive compensation & great working conditions in a modern and innovative high-tech company
• A long-term commitment and the opportunity to develop a rewarding career

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

• Collaborate in a cross-functional team to deliver valuable product increments
• Write clean, tested, and maintainable code using industry best practices
• Contribute to technical discussions and design decisions
• Take ownership of system operations, monitoring, and performance in production

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

• 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