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• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

Maintain the DOR strategy, resilience objectives and Critical Important Functions (CIF) methodology, and steer DORA implementation by tracking regulatory requirements and compliance gaps....

• Design, build, test, and operate backend services that support payments, invoicing, ledger flows, and financial data consistency.
• Help shape the technical direction within your domain, making trade-offs explicit and aligning them with business impact, reliability, maintainability, and delivery speed.

• 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

• 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

• Work at leading consulting company and ServiceNow Global Elite Partner
• Be a part of rapidly growing team of ServiceNow professionals combining deep business process and technology experience: IT Service Management Consultants, Business Analysts, Project Managers, Architects and Developers

• 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

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

• .NET services integrating with internal and external data sources;
• a .NET Web API back-end hosted on IIS and responsible for the system's core operations;
• complex reporting and business intelligence functionality implemented in Microsoft SQL Server: T-SQL, stored procedures;

Helping clients ensuring their IT systems, processes, and operations align with leading professional standards, industry frameworks, and regulatory requirements (ITIL, COBIT, ISO 27001, ISO 27701, ISO 22301, DORA, NIS2, NIST)....

Drive the product strategy for the Agentic Offerings Domain; AI Hub: focusing on Discoverability and conversion and and AgentSPHERE; focusing on Agent governance and control leading to the creation of an Agent Marketplace...

• Define and design the architectural standards for scalable cloud solutions, including data pipelines, APIs, and analytical tools.
• Oversee the integrity and performance of all SCM AI models and cloud applications, steering continuous enhancements and optimization.

• 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

• 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

• 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

BUILD AND IMPROVE INTERNAL AUTOMATION SOLUTIONS. You develop and enhance internal tools using C#, .NET, APIs, and SQL Server, helping our teams work smarter and faster. TRANSLATE BUSINESS NEEDS INTO RELIABLE TECHNOLOGY. You take real business processes and turn them into robust workflows, data...

• Advise development teams on secure software design, architecture and coding practices.
• Review security-critical code, components and APIs to identify vulnerabilities and recommend practical solutions.

• Analysis of existing QM processes to identify potential areas for AI applications
• Research and evaluation of AI technologies and tools to support the automation and optimization of QM tasks
• Support in developing and refining AI use cases, e.g. for error analysis and process monitoring

• Design and implementation of cloud infrastructure for SaaS and PaaS usage according to regulatory requirements and industry best practices
• Develop the hybrid cloud platform architecture blueprint (SAD), including network, identity, and security for Azure and AWS landing zones