It programozás, fejlesztés állások, munkák Budapesten

• Monitoring platform and resolving issues reported by monitoring application
• Maintaining availability, integrity and confidentiality of security platforms
• Upgrading, remediating and patching underlying operating systems
• Writing and updating knowledgebase articles

• Management of complex strategic projects
• Guidance of successful execution of important initiatives across functions
• Management of multiple high-priority projects simultaneously
• Coordination of cross-functional teams through the complete project lifecycle

• Analysis of global service quality data including non-conformance costs, corrective and preventive actions, customer satisfaction, NPS, and audit findings
• Transformation of analysis into clear conclusions and prioritized recommendations for regions, central functions, and management

• Lead end-to-end process modernization initiatives with a focus on AI and automation
• Design and implement AI agents, intelligent assistants, and workflow automation solutions
• Develop automated capabilities such as dynamic documentation, reporting, and workflow updates

• Design of architectural patterns for transition from legacy monolithic patterns to modern scalable AI-integrated architectures
• Leading the "Strangler Fig" approach for wrapping, refactoring, or replacing legacy components

• Work with product line leaders to understand product requirements and vision
• Translate requirements and vision into prioritized list of user stories and deliver to required timelines and quality standards

• Design and maintain automated CI/CD pipelines
• Automate provisioning and management of infrastructure using Infrastructure as Code tools
• Manage health and performance of mission-critical applications
• Implement advanced monitoring, logging, and tracing for legacy and modern services

• Business process analysis and design of Lead-to-Order processes
• Cross-country process harmonisation
• Requirements engineering
• Business workshops and stakeholder alignment
• Fit-gap and impact analysis
• End-to-end solution definition
• Backlog readiness and delivery support
• Business validation

• Design, operation and further development of OpenStack-based services on the T Cloud Public Platform in the network area
• Planning and driving automation using common automation frameworks
• Further development of the physical and virtual network architecture taking IT security aspects into account

• Executing system data maintenance and administrative activities in Cornerstone and relevant learning management systems
• Providing non-systems related learning process support

• Lead the design of AI-assisted SDLC patterns for repository intake, code exploration, build diagnosis, and engineering evidence generation
• Manage and prioritize the Product Backlog balancing maintenance and modernization

• Ownership of end-to-end lifecycle of domain data products including design, development, operationalization, evolution, and retirement
• Leadership of technical delivery across data ingestion, pipelines, transformations, APIs, and data engineering processes within the domain

• Adaptation and implementation of IT processes to modern Cloud IT Operations
• Elimination of wait times in Agile workflows
• Consistent automation with common frameworks
• Design and implementation of internal tools and services

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Operation and evolution of Kubernetes platform
• Building, configuring, and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Design and operation of NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• Komplex üzleti folyamatok végpontok közötti automatizálása Java és Spring Boot alapokon
• Automatizációs megoldások fejlesztése UI és API szinten Selenium, LeanFT és hasonló eszközök bevonásával
• AI-alapú prototípusok, belső eszközök és automatizációk fejlesztése kontrollált vállalati környezetben

• Security reviews of projects as part of the internal security assessment process
• Advisory support to project teams from a security and compliance perspective
• Assessment of Kubernetes architectures and designs against internal security requirements

Ügyfelek üzleti követelményeinek elemzése és azok részletes technikai megoldás-tervekké és architektúra-dokumentációkká alakítása...

• 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

• Tesztmenedzsment feladatok vezetése a teljes tesztfolyamat szakmai kísérésével az igényfelméréstől a riportolásig
• Követelményanalízis fejlesztőkkel, üzemeltetőkkel és más érintettekkel közösen
• Tesztstratégiák tervezése, tesztelési lépések meghatározása és követése