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Research and development of a multimodal AI assistant that translates natural-language requests into secure actions on real 3D simulation models...

• Develop and optimize model code of HAMOCC for modern supercomputing architectures
• Enable and improve heterogeneous execution across CPUs and GPUs

• Development, maintenance and enhancement of microservice-based applications using Java and Quarkus
• Operation and support of production environments running on Kubernetes including deployment automation, monitoring, troubleshooting and incident resolution

• Responsibility for Identity & Access Management (IAM)
• Ongoing development and management of IAM concepts and systems
• Deployment, management, and customization of Keycloak in an Amazon EKS environment using modern CI/CD tools
• Support and optimization of the Microsoft Active Directory infrastructure

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Lead business and technical discovery sessions to understand customer objectives, requirements, constraints, risks and success measures
• Capture and translate customer needs into clear solution strategies, recommendations, scoped proposals, and phased roadmaps

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions

• Building, configuring and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Designing and operating NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

You design and develop scalable Salesforce solutions using Apex, Lightning Web Components (LWC), SOQL/SOSL, APIs, and integrations. Ideally, you also have Java expertise and experience with microservices architectures...

• Provide end-to-end leadership across projects within the ISP.
• For the various projects, define target application landscapes, integrations, data flows, lifecycle management, and system dependencies.

• Maintain and develop the ocean biogeochemical model code of the HAMOCC model
• Coordinate integration of new process representations developed across multiple projects
• Establish and maintain software quality standards, testing procedures, and documentation

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

Shaping and evolving enterprise architecture practices across strategically relevant domains, ensuring alignment with business priorities, IT strategy and long-term transformation goals....

• End-to-end felelősség cloud és on-premise / private cloud platformok architektúrájáért
• Cloud platformok (AWS, Azure, T Cloud Public) tervezése és fejlesztése
• Kubernetes-alapú üzemeltetési és deployment megoldások kialakítása
• Shared és managed service architektúrák megtervezése és továbbfejlesztése

• Implementation of complex ServiceNow solutions including system configuration and custom feature development
• Provision of advanced technical consulting and support quality assurance activities
• Ensuring adherence to implementation standards and technical best practices

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams (Full-stack, AI, Data)

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

• Make optimization runs fast enough that customers iterate in minutes, not hours — across problems an order of magnitude larger than today
• Build the data backbone: ingest SAP/ERP exports, Excel reality, and operator knowledge into a clean, versioned, traceable model layer