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• 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

• Integrációs megoldások tervezése és dokumentálása a legjobb gyakorlatok és vállalati irányelvek mentén
• Integrációs elvek és stratégiák formálása és fenntartása az Integration Architect csapattal együttműködve

• Development and operation of the product in an engineering team
• Production deployments
• Cloud automation
• Monitoring and alerting
• Incident management and post-incident analysis
• Identification and troubleshooting of platform issues

• Sérülékenységek keresése Windowsban és asztali alkalmazásokban
• Önálló kutatás és dokumentáció készítése a kutatás folyamatáról
• Patch diffing készítése BinDiffel

• Design, develop, and maintain software solutions supporting ultrasound reporting and clinical workflows
• Develop and integrate structured medical reporting solutions using TypeScript, XML, JSON, and SQL databases

• Evaluate and integrate emerging Mixed Reality, Augmented Reality, and Spatial Computing technologies into Brainlab products.
• Act as the primary technical interface between external suppliers, technology partners, and internal development teams.

• 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

• Look beyond stated requirements for better ways to solve client problems, whether through Salesforce, AI or a smarter process
• Identify opportunities for Agentforce, Data 360 and other new capabilities, and turn them into use cases, prototypes, POCs and pilots

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Support the day-to-day information security activities of the organization
• Assist the Information Security team in coordinating security-related activities with IT, Development, and other business units

• Üzleti alkalmazások fejlesztése frontend- és backend-oldalon egyaránt
• Fejlesztési feladatok szakmai vezetése és megvalósítása
• Új technológiai megoldások és fejlesztési javaslatok beépítése különböző rendszerekbe
• Meglévő fejlesztések támogatása, hibák felderítése és javítása

• Design, development, testing, deployment, and maintenance of scalable and robust software solutions
• Collaboration with product owners, business analysts, and other stakeholders to understand requirements and translate them into technical specifications

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Develop intelligent document understanding for PDFs, Word, Excel, presentations

Analyze AI computing systems end-to-end: Understand how training and inference workloads run on modern data-center architectures and identify the fundamental bottlenecks in compute, memory, interconnects and energy efficiency....

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship position

• Helping clients ensuring their IT systems, processes, and operations align with leading professional standards, industry frameworks, and regulatory requirements
• Acting as a subject matter expert on both local and international IT audit and cybersecurity consulting projects

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Working together with the client on their requirements
• Transferring requirements to the backlog of understandable and estimable project tasks
• Understanding priorities
• Preparing release/sprint plans
• Focusing on maximum transparency when working with stakeholders