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• 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

Establishment and operation of the build, release, and observability backbone for Meridian technical due diligence, code quarantine, reproducible software validation, controlled deployment preparation, and reliable engineering handover across cloud platform components...

• Service-level analysis of modular cloud software
• Mapping APIs, configuration flows, service dependencies, database usage, and operational assumptions of OpenStack-style services and surrounding components

• Building end-to-end web solutions from UI to backend
• Leading and contributing to development efforts across the full stack
• Designing and implementing web applications using modern frameworks and best practices
• Translating business and user needs into intuitive, scalable technical solutions

• Implementing and improving business objects for mobile network infrastructure in backend systems up to the API layer
• Providing a consistent and scalable data foundation for internal systems
• Developing and maintaining business objects including data models, backend logic, and APIs

• 2nd level support for complex incidents, service requests, and operational issues
• Handling incidents, problems, changes, and service requests using ServiceNow as the central ITSM tool
• Analyzing, troubleshooting, and resolving issues across application, database, OS, and infrastructure layers

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Delivery of scalable, reliable, and innovative cloud solutions
• Definition of product vision, strategy, and roadmap for cloud products and platforms

• Development of native Android applications
• Design of user interfaces and functions as planned
• Participation in the definition of requirements and estimation of tasks
• Writing Unit and UI tests and participation in developer testing
• Staying up-to-date with current technology trends in Android development

• Operation and support of several systems in Azure
• Design and continuous improvement of monitoring, alerting, and logging
• Support of incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• Enterprise alkalmazások architektúrájának teljes körű tervezése és irányítása
• Üzleti igények technikai koncepciókká alakítása
• Nemzetközi, angol nyelvű fejlesztőcsapatok szakmai vezetése és koordinálása
• Fejlesztési eredmények integrációjának biztosítása a Telekom rendszerkörnyezetbe

• Data ingestion processes from various sources into the Data Lake
• Design, development, and optimization of complex data pipelines for reliable data flow
• Build, development, and maintenance of frameworks facilitating the construction of data pipelines

• Lead AI-assisted software engineering activities for Meridian by designing repeatable SDLC patterns
• Anchor the engineering approach for OpenStack-derived services, repository-scale understanding, and sovereign software handover readiness

• Coordination with the Product Manager and multi-skillset team members to develop holistic product delivery plans
• Management of delivery plans for complex, high-impact technical projects

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools (Terraform) and CI/CD

• Industrialization of AI-assisted engineering workflows for Meridian
• Packaging repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Üzleti és technológiai elvárások elemzése a kisebb változásoktól a stratégiai programokig
• Üzleti igények alakítása műszaki megoldássá
• Technológiai megoldási javaslatok kidolgozása
• Tervezés során felmerülő követelmények gyűjtése és karbantartása

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Stable operation of highly available applications in a 24/7 environment
• Monitoring of applications
• Deployment of applications
• Continuous improvement of applications
• Contribution to operational excellence
• Support of the entire application lifecycle from deployment to productive operation

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks