Data állások, munkák rendszerintegrátor kategóriában

• Entwicklung von Gefechtsständen für bodengebundene Luftverteidigungssysteme und Schutzsysteme zur Bekämpfung von Drohnen
• Definition von Struktur und Verhalten des Gefechtsstands und seiner Systemelemente
• Durchführung der Anforderungsanalyse und Definition der Systemarchitektur

• Integration of self-driving software into embedded systems running QNX or Linux
• Building and customizing vendor Board Support Package (BSP) for self-driving stack, vehicle system and test infrastructure
• Building custom embedded Linux with Yocto project
• Porting self-driving software to new platforms

• Assessment and clarification of customer functional requirements related to the system/software jointly with business consultants
• Development and modification of applications or part of the application
• Preparation of related documentation

• Configuration of the P&P platform end to end across frontend and backend
• Tuning and optimization of forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go for non-standard configuration

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

• Work on design, coding, and quality assurance tasks related to strategic product capabilities
• Drive platform decisions that balance security, scalability, operability, and product evolution across current and future phases
• Development activities in ABAP and Java.

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Develop, configure, maintain, and enhance automation and manufacturing software applications.
• Design and integrate solutions connected to DCS, MES, historians, databases, and manufacturing systems.
• Develop applications and scripts using VBA, PowerShell, C#, SQL, and Git-based version control.

• Lead the technical lifecycle of ServiceNow and related governance platforms (IRM, Risk, Change, Incident, CMDB, Asset).
• Ensure configurations are secure, scalable, auditable, and aligned with regulatory standards.

• Translate Vision into Reality: Act as a key partner to stakeholders, taking broad business objectives and refining them into sophisticated, high-impact technical solutions within the
• Atlassian suite
• .

Analyze complex supply chain planning and business problems to be solved with SAP IBP and integrated SAP ERP systems. Identify gaps, evaluate solution alternatives, and translate business requirements into functional and technical system specifications for SAP IBP (e.g. Demand Planning, S&OP,...

You'll independently deliver at least 2 client integration projects (API, middleware, webhook scope) end-to-end with no critical escalations within your first 6 months...

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, observability, and the APIs that...

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• Develop Linux based machine platform and application software architectures from the first idea to series production and maintenance
• Contribute to our future software defined global machine control and connectivity platform

• Design, develop and maintain scalable integration services within a modern container-based banking platform
• Contribute to strategic integration initiatives involving real-time data exchange and event-driven architectures

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.